cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rpjk82s7rs
title: GSE Sleipner Case Study

description: Data associated with the article submitted to Geoenergy Science and Engineering. The dataset includes synthetic seismic cubes, dRMS seismic maps, and property maps for the three zones defined in the article. Seismic cubes are provided in SEG-Y format, and dRMS maps are provided in EarthVision grid format (ASCII).

Title: Modeling and Analysis of Synthetic Seismic Responses for Sleipner Simulation Models: a Case Study

Autores: Felipe L. Cavalcante (1), Daiane Rossi Rosa Lessa (1), Leonildes Soares de Melo Filho (2), Denis José Schiozer (1), Alessandra Davolio Gomes (1)

(1) Center for Energy and Petroleum Studies, University of Campinas, Cora Coralina Street, 350, Campinas, SP, Brazil

(2) Repsol Sinopec Brasil - Praia de Botafogo, 300 – ZIP Code 22250-040, Rio de Janeiro, RJ – Brazil

Correspondence: clfelipe@unicamp.br

Abstract
The Sleipner CO₂ storage project in the North Sea has become a global reference for carbon capture, utilization, and storage (CCUS), offering a dataset for testing geophysical methodologies. In this study, we assess the capacity of ten publicly available three-dimensional flow models from the British Geological Survey (BGS) to replicate observed four-dimensional seismic responses at the Sleipner East site. Real 4D seismic data provided by Equinor were compared against synthetic responses generated via petroelastic modeling and one-dimensional convolutional forward modeling of the simulation outputs. To address gaps in model documentation, we implemented a robust workflow that integrates literature-derived rock physics parameters with targeted calibration of petroelastic models. Model performance was quantified using the Structural Normalized Cross Correlation (NCC) and Root Mean Square Error (RMSE) metrics applied to attribute maps across three discrete reservoir intervals. Although none of the evaluated models capture every feature of the field data—reflecting their simplified geological frameworks—several closely reproduce the CO₂ plume morphology and signal polarity in specific zones. Our workflow enables reproducible seismic modeling for CCUS benchmarking, with Model 10 achieving the highest similarity (NCC = 0.754) in Zone 1. Moreover, this work provides a reproducible protocol for constructing petroelastic models and conducting seismic forward modeling using publicly accessible datasets for Sleipner.
DOI: 10.17632/rpjk82s7rs.1
title: GSE Sleipner Case Study

description: Data associated with the article submitted to Geoenergy Science and Engineering. The dataset includes synthetic seismic cubes, dRMS seismic maps, and property maps for the three zones defined in the article. Seismic cubes are provided in SEG-Y format, and dRMS maps are provided in EarthVision grid format (ASCII).

Title: Modeling and Analysis of Synthetic Seismic Responses for Sleipner Simulation Models: a Case Study

Autores: Felipe L. Cavalcante (1), Daiane Rossi Rosa Lessa (1), Leonildes Soares de Melo Filho (2), Denis José Schiozer (1), Alessandra Davolio Gomes (1)

(1) Center for Energy and Petroleum Studies, University of Campinas, Cora Coralina Street, 350, Campinas, SP, Brazil

(2) Repsol Sinopec Brasil - Praia de Botafogo, 300 – ZIP Code 22250-040, Rio de Janeiro, RJ – Brazil

Correspondence: clfelipe@unicamp.br

Abstract
The Sleipner CO₂ storage project in the North Sea has become a global reference for carbon capture, utilization, and storage (CCUS), offering a dataset for testing geophysical methodologies. In this study, we assess the capacity of ten publicly available three-dimensional flow models from the British Geological Survey (BGS) to replicate observed four-dimensional seismic responses at the Sleipner East site. Real 4D seismic data provided by Equinor were compared against synthetic responses generated via petroelastic modeling and one-dimensional convolutional forward modeling of the simulation outputs. To address gaps in model documentation, we implemented a robust workflow that integrates literature-derived rock physics parameters with targeted calibration of petroelastic models. Model performance was quantified using the Structural Normalized Cross Correlation (NCC) and Root Mean Square Error (RMSE) metrics applied to attribute maps across three discrete reservoir intervals. Although none of the evaluated models capture every feature of the field data—reflecting their simplified geological frameworks—several closely reproduce the CO₂ plume morphology and signal polarity in specific zones. Our workflow enables reproducible seismic modeling for CCUS benchmarking, with Model 10 achieving the highest similarity (NCC = 0.754) in Zone 1. Moreover, this work provides a reproducible protocol for constructing petroelastic models and conducting seismic forward modeling using publicly accessible datasets for Sleipner.
DOI: 10.17632/p52vcxjhrv
title: Strategic income shifting in uncertain times: Insights from economic policy uncertainty

description: Replication package for "Strategic income shifting in uncertain times: Insights from economic policy uncertainty"
DOI: 10.17632/p52vcxjhrv.1
title: Strategic income shifting in uncertain times: Insights from economic policy uncertainty

description: Replication package for "Strategic income shifting in uncertain times: Insights from economic policy uncertainty"
DOI: 10.17632/wmms4sxnd8
title: Pre-service Teachers’ Translanguaging Practices in South African English Language Classrooms

description: This dataset contains 26 anonymised written reports from pre-service English teachers regarding translingual practices in their classrooms during teaching practice placements in multilingual classrooms in South African high schools.
DOI: 10.15468/dl.5tbt7g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca buryi",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028261-250920141307145/datasets/export for details.
DOI: 10.17632/wmms4sxnd8.1
title: Pre-service Teachers’ Translanguaging Practices in South African English Language Classrooms

description: This dataset contains 26 anonymised written reports from pre-service English teachers regarding translingual practices in their classrooms during teaching practice placements in multilingual classrooms in South African high schools.
DOI: 10.15468/dl.ents2v
title: Occurrence Download

description: A dataset containing 900 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Astilbe grandis)"
 ]
}

 The dataset includes 900 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028259-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/djdvyjy6hr
title: Computed tomography image dataset of neurocysticercosis

description: The images correspond to neurocysticercosis found in CT images of positive patients.

The procedure begins by identifying the presence of neurocysticercosis in the CT images. The images were cropped, yielding 1,059 images contained in the "RGB_originals" folder. These images are in PNG format using the RGB color model. The "PNG_grayscale" folder contains 1,059 images in single-channel grayscale configuration. The "DICOM_grayscale" folder contains 1,059 images in DICOM format with the original image configuration.

Of the 1059 images, 150 images were randomly taken to which various processes of marking the neurocysticercosis were performed, being in the "pro_market" folder, obtaining a mask of the neurocysticercosis saving in the "pro_mask" folder, the neurocysticercosis was segmented saving them in the "pro_segmented" folder, these images were saved in two formats PNG located in the "pro_originals_PNG" folder and TIFF in the "pro_originals_TIFF" folder, from these marked images, values ​​​​of characteristics such as area, perimeter, contrast, correlation, energy, homogeneity among others were extracted, which are found in the "pro_feature" folder that contains the values ​​​​of the characteristics in csv and txt format.
DOI: 10.17632/djdvyjy6hr.5
title: Computed tomography image dataset of neurocysticercosis

description: The images correspond to neurocysticercosis found in CT images of positive patients.

The procedure begins by identifying the presence of neurocysticercosis in the CT images. The images were cropped, yielding 1,059 images contained in the "RGB_originals" folder. These images are in PNG format using the RGB color model. The "PNG_grayscale" folder contains 1,059 images in single-channel grayscale configuration. The "DICOM_grayscale" folder contains 1,059 images in DICOM format with the original image configuration.

Of the 1059 images, 150 images were randomly taken to which various processes of marking the neurocysticercosis were performed, being in the "pro_market" folder, obtaining a mask of the neurocysticercosis saving in the "pro_mask" folder, the neurocysticercosis was segmented saving them in the "pro_segmented" folder, these images were saved in two formats PNG located in the "pro_originals_PNG" folder and TIFF in the "pro_originals_TIFF" folder, from these marked images, values ​​​​of characteristics such as area, perimeter, contrast, correlation, energy, homogeneity among others were extracted, which are found in the "pro_feature" folder that contains the values ​​​​of the characteristics in csv and txt format.
DOI: 10.15468/dl.r5vyns
title: Occurrence Download

description: A dataset containing 4641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lygodium japonicum",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4641 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028260-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bk4vyhhr3j.1
title: 2025 Zhang et al. Uranyl complexes data file

description: data availability for "Speciation of uranyl in hydrothermal solutions: insights from molecular dynamics simulations"
DOI: 10.17632/yk8mcd3bdn
title: High-Performance Thiadiazole Derivatives as a Nontoxic Components of Initiating Systems for the Obtaining of New Generation Composites

description: This paper presents the usefulness of new derivatives of 2,1,3-benzothiadiazole (2,1,3-BTD) as photosensitizers for diaryliodonium salts to initiate various types of photopolymerization processes using UV and Vis-LED light sources. The usefulness of the compounds was proved for initiating cationic photopolymerization of epoxy monomers, free-radical photopolymerization of acrylate monomers, and hybrid photopolymerization. The next stage of this study was to obtain 3D prints using the selected compositions. The possibility of initiating the photopolymerization process of resins with CeO2 nanoadditive was also examined, and the usefulness of obtaining photocurable composites was assessed. The cytotoxicity of the new derivatives of 2,1,3-benzothiadiazole was tested using the MTT assay, and the results showed the low toxicity of the new 2,1,3-BTD. The use of 2,1,3-benzothiadiazole derivatives in combination with iodonium salts increases the efficiency of process photopolymerization initiation, while opening the possibility of obtaining three-dimensional structures in 3D printing using digital light processing technology (DLP).
DOI: 10.17632/yk8mcd3bdn.1
title: High-Performance Thiadiazole Derivatives as a Nontoxic Components of Initiating Systems for the Obtaining of New Generation Composites

description: This paper presents the usefulness of new derivatives of 2,1,3-benzothiadiazole (2,1,3-BTD) as photosensitizers for diaryliodonium salts to initiate various types of photopolymerization processes using UV and Vis-LED light sources. The usefulness of the compounds was proved for initiating cationic photopolymerization of epoxy monomers, free-radical photopolymerization of acrylate monomers, and hybrid photopolymerization. The next stage of this study was to obtain 3D prints using the selected compositions. The possibility of initiating the photopolymerization process of resins with CeO2 nanoadditive was also examined, and the usefulness of obtaining photocurable composites was assessed. The cytotoxicity of the new derivatives of 2,1,3-benzothiadiazole was tested using the MTT assay, and the results showed the low toxicity of the new 2,1,3-BTD. The use of 2,1,3-benzothiadiazole derivatives in combination with iodonium salts increases the efficiency of process photopolymerization initiation, while opening the possibility of obtaining three-dimensional structures in 3D printing using digital light processing technology (DLP).
DOI: 10.17632/6tpjv8mxh8
title: CPA Mutation Study

description: This is the dataset for the manuscript 'Targeted Mutational Analysis of Cortisol-Producing Adenomas' (J Clin Endocrinol Metab. 2022 Jan 18;107(2):e594-e603.) by Rege et al.
DOI: 10.17632/6tpjv8mxh8.1
title: CPA Mutation Study

description: This is the dataset for the manuscript 'Targeted Mutational Analysis of Cortisol-Producing Adenomas' (J Clin Endocrinol Metab. 2022 Jan 18;107(2):e594-e603.) by Rege et al.
DOI: 10.17632/sj5m75pj22.2
title: MPMEs2

description: The database is an integral part of the article "DIGITAL STRATEGY AND ITS MEDIATING ROLE BETWEEN DIGITALIZATION, INNOVATION, AND FINANCIAL PERFORMANCE," submitted to the REGEPE journal in June 2025. The database includes the following variables:
basic digitalization (DIG_A)
advanced digitalization (DIG_B)
digital strategy (EST)
innovation (INOV)
financial performance (RF)
The research sample consists of 703 MSMEs operating in the 27 states of the Federative Republic of Brazil. The largest portion of the companies surveyed is located in the states of São Paulo, Belo Horizonte, Rio Grande do Sul, and Santa Catarina, which together account for 83% of the companies participating in the survey. The sampling was non-probabilistic due to the impossibility of applying the randomization process due to the lack of a registry of Brazilian MSMEs. However, this type of sampling has the advantages of greater control over sample composition, efficiency due to direct selection, and greater flexibility in adapting the sample to the specific needs of the research (Etikan, Musa & Alkassim, 2016). A quantitative survey-type questionnaire was administered to managers or owners of the MSMEs to obtain data on their technological capacity, innovation capacity, performance, and use of advanced technologies. The questionnaire consists of structured questions based on a five-point Likert scale. Data collection was carried out online using a link provided by FAEDPYME from February to May 2022. The items that make up the questionnaire were proposed by FAEDPYME and endorsed by research groups in Brazil, with minor adjustments made, mainly in relation to the equivalence of the National Registry of Economic Activities (CNAE 2.0) in Brazil and Europe.
DOI: 10.15468/dl.tjuxgc
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Shannon Index and species richness for herbivores"
 ]
}

 The dataset includes 153 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028262-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9jmw4v3czd
title: Gender, Property Rights and Economic Growth

description: These files replicate the output in Gender, Property Rights and Economic Growth.
DOI: 10.17632/9jmw4v3czd.2
title: Gender, Property Rights and Economic Growth

description: These files replicate the output in Gender, Property Rights and Economic Growth.
DOI: 10.17632/7bh54cyh88
title: Identifying Anthropogenic Sources of Heavy Metal Pollution in Zacatecas, Mexico

description: Major Sources and Risk Hotspots of Heavy Metal Contamination in Zacatecas Soils: An Integrated Analytical Approach
DOI: 10.17632/7bh54cyh88.1
title: Identifying Anthropogenic Sources of Heavy Metal Pollution in Zacatecas, Mexico

description: Major Sources and Risk Hotspots of Heavy Metal Contamination in Zacatecas Soils: An Integrated Analytical Approach
DOI: 10.17632/3hgm7x3kyf
title: Toxicosis and Mortality in Dogs and Cats Exposed to Human Topical Medications: A Scoping Review

description: This scoping review aimed to identify articles describing reported toxicoses in dogs and cats that were a result of human dermatologic topical medications. Of 2,658 identified articles, 27 met inclusion criteria and described 87 dogs and 65 cats. Implicated topical medications included vitamin D analogs (37.0%), 5-fluorouracil (5-FU) (25.9%), minoxidil (18.5%), estrogen (14.8%), and corticosteroids (3.7%). Commonly reported symptoms of toxicosis in cats and dogs included, but were not limited to: vomiting (44.1%), lethargy (36.2%), cardiac arrhythmias (28.9%), anorexia (17.7%), seizure (17.1%), and pulmonary edema or pleural effusion (13.8%). Thirty-seven total fatalities (24.3%) were reported. In order to prevent pet toxicosis and mortality from human topical medications, prescribers can raise awareness by discussing the potential for toxicity and fatality in pets exposed to human topical medications with patients. 

Supplementary File 1:
- Methodology for this scoping review. 
- Figure 1. Study selection flow diagram

Supplementary File 2: 
- Supplementary Table 1. Articles Included in the Final Analysis and Study Characteristics. 
- Supplementary Table 2. Overview of Reported Minimum Toxic and Lethal Doses of Human Topical Medications in Cats and Dogs.
- Supplementary Table 3. Guidance for Pet Owners Prescribed Topical Medications
- References for articles included in this study.
DOI: 10.17632/3hgm7x3kyf.1
title: Toxicosis and Mortality in Dogs and Cats Exposed to Human Topical Medications: A Scoping Review

description: This scoping review aimed to identify articles describing reported toxicoses in dogs and cats that were a result of human dermatologic topical medications. Of 2,658 identified articles, 27 met inclusion criteria and described 87 dogs and 65 cats. Implicated topical medications included vitamin D analogs (37.0%), 5-fluorouracil (5-FU) (25.9%), minoxidil (18.5%), estrogen (14.8%), and corticosteroids (3.7%). Commonly reported symptoms of toxicosis in cats and dogs included, but were not limited to: vomiting (44.1%), lethargy (36.2%), cardiac arrhythmias (28.9%), anorexia (17.7%), seizure (17.1%), and pulmonary edema or pleural effusion (13.8%). Thirty-seven total fatalities (24.3%) were reported. In order to prevent pet toxicosis and mortality from human topical medications, prescribers can raise awareness by discussing the potential for toxicity and fatality in pets exposed to human topical medications with patients. 

Supplementary File 1:
- Methodology for this scoping review. 
- Figure 1. Study selection flow diagram

Supplementary File 2: 
- Supplementary Table 1. Articles Included in the Final Analysis and Study Characteristics. 
- Supplementary Table 2. Overview of Reported Minimum Toxic and Lethal Doses of Human Topical Medications in Cats and Dogs.
- Supplementary Table 3. Guidance for Pet Owners Prescribed Topical Medications
- References for articles included in this study.
DOI: 10.17632/pvyw2tzcp5
title: HDL ERCC2

description: Unprocessed data files for project ERCC2: proteomic, lipidomic, RNAseq. amd NMR LipoProfile analysis. Two samples from lipidomics and NMR LipoProfile were mislabelled and data were swapped after analysis.
DOI: 10.15468/dl.dj5xsp
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myosoton aquaticum",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028263-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pvyw2tzcp5.1
title: HDL ERCC2

description: Unprocessed data files for project ERCC2: proteomic, lipidomic, RNAseq. amd NMR LipoProfile analysis. Two samples from lipidomics and NMR LipoProfile were mislabelled and data were swapped after analysis.
DOI: 10.17632/rpth9tp4rh
title: RiceTagosodes-DB - Dataset of Aerial Images of Rice Crops for Detection of Tagosodes orizicolus

description: This dataset contains images and annotations used in the study “Detection of Tagosodes orizicolus in Aerial Images of Rice Crops Using Machine Learning”
When using this dataset, please cite:
Rivera-Cartagena, A.; Mejia-Cabrera, H.I.; Arcila-Diaz, J. Detection of Tagosodes orizicolus in Aerial Images of Rice Crops Using Machine Learning. AgriEngineering 2025, 7, 147. https://doi.org/10.3390/agriengineering7050147

The RiceTagosodes-DB dataset is composed of a total of 1,227 original images, of which 825 were captured in the city of Lambayeque, Peru, and 402 in Pacanguilla, Peru. These images were acquired using a drone over rice crops. Each image has dimensions of 5472 × 3648 pixels in JPEG format, with a resolution of 72 pixels per inch both horizontally and vertically, and a color depth of 24 bits. The final database consists of 1500 images, distributed into three subfolders: empty, rice, and sogata, with 500 images in each category. All images were standardized to dimensions of 256 × 256 pixels in compressed JPEG format, with a resolution of 96 pixels per inch both horizontally and vertically, and a color depth of 24 bits.
DOI: 10.17632/rpth9tp4rh.1
title: RiceTagosodes-DB - Dataset of Aerial Images of Rice Crops for Detection of Tagosodes orizicolus

description: This dataset contains images and annotations used in the study “Detection of Tagosodes orizicolus in Aerial Images of Rice Crops Using Machine Learning”
When using this dataset, please cite:
Rivera-Cartagena, A.; Mejia-Cabrera, H.I.; Arcila-Diaz, J. Detection of Tagosodes orizicolus in Aerial Images of Rice Crops Using Machine Learning. AgriEngineering 2025, 7, 147. https://doi.org/10.3390/agriengineering7050147

The RiceTagosodes-DB dataset is composed of a total of 1,227 original images, of which 825 were captured in the city of Lambayeque, Peru, and 402 in Pacanguilla, Peru. These images were acquired using a drone over rice crops. Each image has dimensions of 5472 × 3648 pixels in JPEG format, with a resolution of 72 pixels per inch both horizontally and vertically, and a color depth of 24 bits. The final database consists of 1500 images, distributed into three subfolders: empty, rice, and sogata, with 500 images in each category. All images were standardized to dimensions of 256 × 256 pixels in compressed JPEG format, with a resolution of 96 pixels per inch both horizontally and vertically, and a color depth of 24 bits.