cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/y6vj5kzfpz
title: EGPBD-An-Event-based-Gold-Prices-Benchmark-Dataset

description: EGPB
About Dataset

This benchmark dataset consisting of 8030 rows and 36 variables sourced from multiple credible economic websites, covering a period from January 2001 to December 2022. This dataset can be utilized to predict gold prices specifically or to aid any economic field that is influenced by the variables in this dataset.

Key variables & Features include:

• Previous gold prices

• Future gold prices with predictions for one day, one week, and one month

• Oil prices

• Standard & Poor's 500 Index (S&P 500)

• Dow Jones Industrial (DJI)

• US dollar index

• US treasury

• Inflation rate

• Consumer price index (CPI)

• Federal funds rate

• Silver prices

• Copper prices

• Iron prices

• Platinum prices

• Palladium prices

Additionally, the dataset considers global events that may impact gold prices, which were categorized into groups and collected from three distinct sources: Al-Jazeera website spanning from 2022 to 2019, Investing website spanning from 2018 to 2016, and Yahoo Finance website spanning from 2007 to 2001.

These events data were then divided into multiple groups:

• Economic data

• Politics

• logistics

• Oil

• OPEC

• Dollar currency

• Sterling pound currency

• Russian ruble currency

• Yen currency

• Euro currency

• US stocks

• Global stocks

• Inflation

• Job reports

• Unemployment rates

• CPI rate

• Interest rates

• Bonds

These events were encoded using a numeric value, where 0 represented no events, 1 represented low events, 2 represented high events, 3 represented stable events, 4 represented unstable events, and 5 represented events that were observed during the day but had no effect on the dataset.

Acknowledgements: The majority of data is collected from Yahoo finance website.

Cite this dataset: Farah Mansour and Wael Etaiwi, "EGPBD: An Event-based Gold Price Benchmark Dataset," 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-7, doi: 10.1109/ICECCME57830.2023.10252987.

@INPROCEEDINGS{10252987, author={Mansour, Farah and Etaiwi, Wael}, booktitle={2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, title={EGPBD: An Event-based Gold Price Benchmark Dataset}, year={2023}, volume={}, number={}, pages={1-7}, doi={10.1109/ICECCME57830.2023.10252987}}
DOI: 10.17632/y6vj5kzfpz.1
title: EGPBD-An-Event-based-Gold-Prices-Benchmark-Dataset

description: EGPB
About Dataset

This benchmark dataset consisting of 8030 rows and 36 variables sourced from multiple credible economic websites, covering a period from January 2001 to December 2022. This dataset can be utilized to predict gold prices specifically or to aid any economic field that is influenced by the variables in this dataset.

Key variables & Features include:

• Previous gold prices

• Future gold prices with predictions for one day, one week, and one month

• Oil prices

• Standard & Poor's 500 Index (S&P 500)

• Dow Jones Industrial (DJI)

• US dollar index

• US treasury

• Inflation rate

• Consumer price index (CPI)

• Federal funds rate

• Silver prices

• Copper prices

• Iron prices

• Platinum prices

• Palladium prices

Additionally, the dataset considers global events that may impact gold prices, which were categorized into groups and collected from three distinct sources: Al-Jazeera website spanning from 2022 to 2019, Investing website spanning from 2018 to 2016, and Yahoo Finance website spanning from 2007 to 2001.

These events data were then divided into multiple groups:

• Economic data

• Politics

• logistics

• Oil

• OPEC

• Dollar currency

• Sterling pound currency

• Russian ruble currency

• Yen currency

• Euro currency

• US stocks

• Global stocks

• Inflation

• Job reports

• Unemployment rates

• CPI rate

• Interest rates

• Bonds

These events were encoded using a numeric value, where 0 represented no events, 1 represented low events, 2 represented high events, 3 represented stable events, 4 represented unstable events, and 5 represented events that were observed during the day but had no effect on the dataset.

Acknowledgements: The majority of data is collected from Yahoo finance website.

Cite this dataset: Farah Mansour and Wael Etaiwi, "EGPBD: An Event-based Gold Price Benchmark Dataset," 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-7, doi: 10.1109/ICECCME57830.2023.10252987.

@INPROCEEDINGS{10252987, author={Mansour, Farah and Etaiwi, Wael}, booktitle={2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, title={EGPBD: An Event-based Gold Price Benchmark Dataset}, year={2023}, volume={}, number={}, pages={1-7}, doi={10.1109/ICECCME57830.2023.10252987}}
DOI: 10.7910/dvn/ve8ibl
title: IEA World Energy Outlook Extended Dataset

description: &lt;p&gt;The World Energy Outlook (WEO), published every year by the International Energy Agency (IEA), is the most authoritative global source of energy analysis and projections. It identifies and explores the biggest trends in energy demand and supply, as well as what they mean for energy security, emissions and economic development.&lt;/p&gt;

&lt;p&gt;The WEO-2024 Extended Dataset includes more detailed information at regional and country-level for Announced Pledges Scenarios (APS) and Stated Policies (STEPS) (including detailed energy balance, electrical capacity, electricity generation, CO2 emission by region, economic and activity indicators, etc.) across projected years (2030, 2035, 2040, 2045, 2050) as well as historical data (2010, 2015, 2022, 2023).&lt;/p&gt;

&lt;p&gt;The aggregate for World and Advanced Economies (ADVECO) also includes the Net Zero Emissions (NZE) Scenario.&lt;/p&gt;

&lt;p&gt;The Extended Dataset also includes chapter figures, investment, trade and power sector capacity addition and retirement, fossil fuel prices, refining capacity and runs, power generation technology costs and assumptions and air pollution data.

&lt;p&gt;&lt;a href="https://www.iea.org/data-and-statistics/data-product/world-energy-outlook-2024-extended-dataset"&gt;source&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;b&gt;Data available for years: 2010-2024 + projections through 2050&lt;/p&gt;
description: View in MIT catalog
File type: XLS
mcdm:1 time
DOI: 10.17632/kwtfw8nkv3
title: Supplemental Figure 1 for Quality of Life in Patients with AGEP Drug Reactions

description: Stacked bar graph displaying the distribution of coded quality of life (QoL) domains among 13 patients with AGEP. Each bar represents one patient (P1-P13) with contributions from six coded domains: activities of daily living (ADLs), cutaneous symptoms, interference with other medical conditions, distrust in medical care, psychological/emotional impact, and social/family role impact.
DOI: 10.15468/dl.ekzmne
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus rubritinctus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 222 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050350-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kwtfw8nkv3.1
title: Supplemental Figure 1 for Quality of Life in Patients with AGEP Drug Reactions

description: Stacked bar graph displaying the distribution of coded quality of life (QoL) domains among 13 patients with AGEP. Each bar represents one patient (P1-P13) with contributions from six coded domains: activities of daily living (ADLs), cutaneous symptoms, interference with other medical conditions, distrust in medical care, psychological/emotional impact, and social/family role impact.
DOI: 10.15468/dl.b48srd
title: Occurrence Download

description: A dataset containing 116872 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Bat winter roosts counts (per individual) Flanders, Belgium"
 ]
}

 The dataset includes 116872 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050313-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/d4shbc5bkb
title: Deep Learning of EEG Signals for Brain Function and Injury: Data of Reviewed Studies

description: This dataset is the result of a systematic review focused on Deep Learning (DL) applications for Electroencephalography (EEG) in the context of Brain Function and Injury (BFI), including consciousness assessment, brain injury, and comatose states. The data were collected following the PRISMA 2020 protocol and PROSPERO registration (CRD42023489566), covering studies published between 2018 and 2023 in major scientific databases such as ACM Digital Library, Elsevier, Google Scholar, IEEE, PubMed, and Scopus.

Each record in the dataset represents a study that met strict eligibility criteria, including the use of human EEG data, DL techniques, and the provision of details on datasets, preprocessing methods, feature extraction, classifier architectures, and performance metrics. Studies combining EEG with other modalities (e.g., fMRI, ECG) or lacking methodological transparency were excluded.

The dataset contains rich metadata organized into more than 80 fields covering:

Context and task (e.g., classification, prediction, clinical context)

Dataset characteristics (public availability, sample size, duration, arrangement, channels, frequency bands)

Preprocessing techniques (noise removal, dimensionality reduction, normalization, data augmentation)

Feature extraction methods and technical details

Deep Learning architectures (CNN, LSTM, GAT, GAN, Transformers) and hyperparameters (e.g., layers, activation functions, optimizers, learning rates, batch sizes, epochs)

Evaluation strategies (validation type, dataset division, cross-validation folds, parameter optimization)

Performance metrics (accuracy, AUC, sensitivity, specificity, precision, F1-score, MAE, Wasserstein distance, reconstruction error, spectral entropy difference)

Explainable AI (XAI) considerations and comparisons with other techniques or datasets.

This dataset is intended to support reproducibility, transparency, and meta-analysis in EEG-based DL research. It enables the identification of trends, methodological gaps, and opportunities for improvement, such as advanced preprocessing strategies, diverse DL architectures, robust validation procedures, and the integration of XAI for interpretability in clinical contexts.

Researchers can use this resource for benchmarking, comparative analysis of hyperparameters, exploration of performance variability across contexts, and the development of new DL models tailored to the specific challenges of EEG in BFI applications.
DOI: 10.17632/d4shbc5bkb.2
title: Deep Learning of EEG Signals for Brain Function and Injury: Data of Reviewed Studies

description: This dataset is the result of a systematic review focused on Deep Learning (DL) applications for Electroencephalography (EEG) in the context of Brain Function and Injury (BFI), including consciousness assessment, brain injury, and comatose states. The data were collected following the PRISMA 2020 protocol and PROSPERO registration (CRD42023489566), covering studies published between 2018 and 2023 in major scientific databases such as ACM Digital Library, Elsevier, Google Scholar, IEEE, PubMed, and Scopus.

Each record in the dataset represents a study that met strict eligibility criteria, including the use of human EEG data, DL techniques, and the provision of details on datasets, preprocessing methods, feature extraction, classifier architectures, and performance metrics. Studies combining EEG with other modalities (e.g., fMRI, ECG) or lacking methodological transparency were excluded.

The dataset contains rich metadata organized into more than 80 fields covering:

Context and task (e.g., classification, prediction, clinical context)

Dataset characteristics (public availability, sample size, duration, arrangement, channels, frequency bands)

Preprocessing techniques (noise removal, dimensionality reduction, normalization, data augmentation)

Feature extraction methods and technical details

Deep Learning architectures (CNN, LSTM, GAT, GAN, Transformers) and hyperparameters (e.g., layers, activation functions, optimizers, learning rates, batch sizes, epochs)

Evaluation strategies (validation type, dataset division, cross-validation folds, parameter optimization)

Performance metrics (accuracy, AUC, sensitivity, specificity, precision, F1-score, MAE, Wasserstein distance, reconstruction error, spectral entropy difference)

Explainable AI (XAI) considerations and comparisons with other techniques or datasets.

This dataset is intended to support reproducibility, transparency, and meta-analysis in EEG-based DL research. It enables the identification of trends, methodological gaps, and opportunities for improvement, such as advanced preprocessing strategies, diverse DL architectures, robust validation procedures, and the integration of XAI for interpretability in clinical contexts.

Researchers can use this resource for benchmarking, comparative analysis of hyperparameters, exploration of performance variability across contexts, and the development of new DL models tailored to the specific challenges of EEG in BFI applications.
DOI: 10.17632/hbb4f3bwv3
title: Whistled Language

description: Whistled language: the Silbo Gomero (Spain)
DOI: 10.17632/hbb4f3bwv3.1
title: Whistled Language

description: Whistled language: the Silbo Gomero (Spain)
DOI: 10.15139/s3/nzlvbg
title: SS4A Vision Zero Action Plan: Town of Culpeper, Virginia (2024). Culpeper, Virginia

description: Vision Zero is a strategy to reduce all traffic fatalities and severe injuries to zero, while increasing safe, equitable, and healthy mobility for all. Vision Zero Plans help guide municipalities, counties, and other areas to address these strategies considering the local context.
description: The plan was originally downloaded on 09.03.2025 at the following link: https://files.culpeperva.gov/Document_Center/Government/Planning_Community%20Development_GIS/SS4A%20Master_9-9-24.pdf
DOI: 10.17632/crr77v9jpv
title: COMPARISON BETWEEN INSTITUTIONAL BASED SUPERVISION AND TELE BASED SUPERVISION FOR TASK ORIENTED EXERCISES ON UPPER LIMB MOTOR PERFORMANCE AND FUNCTIONAL ABILITY AMONG PATIENTS WITH STROKE

description: Stroke remains a leading cause of disability worldwide, with upper limb motor impairments affecting the majority of survivors. Rehabilitation is crucial but often underutilized due to accessibility, cost, and compliance issues. This study compared institutional-based supervision and tele-based supervision for task-oriented upper limb exercises among 62 stroke patients over eight weeks. Both groups demonstrated significant improvements in motor performance and functional ability, measured using the Fugl-Meyer Assessment (FMA-UE) and the Motor Evaluation Scale for Upper Extremity in Stroke Patients (MESUPES). Importantly, no significant differences were found between the two groups, indicating that telerehabilitation was equally effective as conventional institutional-based care. While institutional therapy showed numerical advantages in certain sub-components, these were not statistically significant. The findings highlight telerehabilitation as a practical, effective, and accessible alternative to traditional rehabilitation, particularly in resource-limited settings such as India. Larger-scale studies are recommended to validate these outcomes and explore long-term and hybrid rehabilitation models.
DOI: 10.17632/crr77v9jpv.1
title: COMPARISON BETWEEN INSTITUTIONAL BASED SUPERVISION AND TELE BASED SUPERVISION FOR TASK ORIENTED EXERCISES ON UPPER LIMB MOTOR PERFORMANCE AND FUNCTIONAL ABILITY AMONG PATIENTS WITH STROKE

description: Stroke remains a leading cause of disability worldwide, with upper limb motor impairments affecting the majority of survivors. Rehabilitation is crucial but often underutilized due to accessibility, cost, and compliance issues. This study compared institutional-based supervision and tele-based supervision for task-oriented upper limb exercises among 62 stroke patients over eight weeks. Both groups demonstrated significant improvements in motor performance and functional ability, measured using the Fugl-Meyer Assessment (FMA-UE) and the Motor Evaluation Scale for Upper Extremity in Stroke Patients (MESUPES). Importantly, no significant differences were found between the two groups, indicating that telerehabilitation was equally effective as conventional institutional-based care. While institutional therapy showed numerical advantages in certain sub-components, these were not statistically significant. The findings highlight telerehabilitation as a practical, effective, and accessible alternative to traditional rehabilitation, particularly in resource-limited settings such as India. Larger-scale studies are recommended to validate these outcomes and explore long-term and hybrid rehabilitation models.
DOI: 10.17632/d867kmp58c
title: Mendeley Supplemental Methods 1_Myers

description: Supplemental Methods 1 for manuscript entitled "Enhancing Quality of Life Through Patient Education and Support in Autoimmune Blistering Diseases: A Regional Initiative".
DOI: 10.17632/d867kmp58c.1
title: Mendeley Supplemental Methods 1_Myers

description: Supplemental Methods 1 for manuscript entitled "Enhancing Quality of Life Through Patient Education and Support in Autoimmune Blistering Diseases: A Regional Initiative".
DOI: 10.17632/2fzpyh3f4v
title: Mendeley Supplemental Figure 1_Myers

description: Supplemental Figure I. Pattern of ABQoL Scores Before and After Intervention by Treatment Group. 

Summary of ABQoL total and subscale scores at baseline and post-intervention by group.
DOI: 10.17632/2fzpyh3f4v.1
title: Mendeley Supplemental Figure 1_Myers

description: Supplemental Figure I. Pattern of ABQoL Scores Before and After Intervention by Treatment Group. 

Summary of ABQoL total and subscale scores at baseline and post-intervention by group.
DOI: 10.25810/4c3b-b819.89
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2025 - August 2025

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.15468/dl.66spd2
title: Occurrence Download

description: A dataset containing 26327 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Population counts for dragonflies in Flanders, Belgium"
 ]
}

 The dataset includes 26327 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050352-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nntz2p
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ancistrus brevipinnis"
 ]
}

 The dataset includes 198 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050353-250827131500795/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.30005182
title: Cadmium in fertilisers used for cacao production: a case study in Colombia

description: The cacao crop is important for Colombia due to its high economic impact. One concern is the presence of cadmium (Cd) in beans, which can enter the soil from various sources, including fertilisers. However, to date, no studies have been carried out to identify Cd in these inputs. Therefore, this study seeks to determine Cd concentrations in (i) organic matter, (ii) chemical fertilisers and (iii) lime, together with the available fraction accessible to the cacao tree. A total of 133 fertilisers used in eight departments of Colombia were assessed. For 10 of these fertilisers a sequential extraction of Cd was carried out in five categories: water-soluble, exchangeable, reducible, oxidizable and residual fractions. Likewise, the mobility of available Cd from the fertiliser to the soil was assessed with an incubation experiment. This study showed that organic fertilisers had the highest total Cd content of all those studied, and increased the Cd retained in the soils. In contrast, the mobile fraction and bioavailable Cd were higher in chemical fertilisers. These findings show a need to raise awareness about the rational use of fertilisers, as well as greater monitoring by local government authorities and elaboration of new regulations for maximum limits.
DOI: 10.6084/m9.figshare.30005182.v1
title: Cadmium in fertilisers used for cacao production: a case study in Colombia

description: The cacao crop is important for Colombia due to its high economic impact. One concern is the presence of cadmium (Cd) in beans, which can enter the soil from various sources, including fertilisers. However, to date, no studies have been carried out to identify Cd in these inputs. Therefore, this study seeks to determine Cd concentrations in (i) organic matter, (ii) chemical fertilisers and (iii) lime, together with the available fraction accessible to the cacao tree. A total of 133 fertilisers used in eight departments of Colombia were assessed. For 10 of these fertilisers a sequential extraction of Cd was carried out in five categories: water-soluble, exchangeable, reducible, oxidizable and residual fractions. Likewise, the mobility of available Cd from the fertiliser to the soil was assessed with an incubation experiment. This study showed that organic fertilisers had the highest total Cd content of all those studied, and increased the Cd retained in the soils. In contrast, the mobile fraction and bioavailable Cd were higher in chemical fertilisers. These findings show a need to raise awareness about the rational use of fertilisers, as well as greater monitoring by local government authorities and elaboration of new regulations for maximum limits.