cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/h6n5srjjyw.1
title: BananaID: An image dataset of banana varieties and ripeness stages in Indonesia designed for classification

description: Type of Data: Banana images with a resolution of 384×256 pixels
Data Format: JPG
Data Contents: Banana varieties and ripeness stages.

Number of Classes:
(1) Five popular banana varieties in Indonesia: Ambon Lumut (referred to as Ambon in the dataset), Cavendish, Raja, Saba, and Mas.
(2) Four ripeness stages: Unripe, Half-ripe, Ripe, and Overripe.

Number of Images:
(1) Total original images for variety classification = 1,960, augmented to 8,750 images.
(2) Total original images for ripeness classification = 1,960, augmented to 7,000 images.

Data Distribution:
(1) Original images per banana variety:
• Ambon = 468
• Cavendish = 380
• Raja = 424
• Saba = 312
• Mas = 376

(2) Augmented images per banana variety:
• Ambon = 1,750
• Cavendish = 1,750
• Raja = 1,750
• Saba = 1,750
• Mas = 1,750

(3) Original images per ripeness stage:
• Unripe = 408
• Half-ripe = 488
• Ripe = 616
• Overripe = 448

(4) Augmented images per ripeness stage:
• Unripe = 1,750
• Half-ripe = 1,750
• Ripe = 1,750
• Overripe = 1,750

Dataset Size:
(1) Total size of the original variety dataset = 48.77 MB
(2) Total size of the augmented variety dataset = 385.40 MB
(3) Total size of the original ripeness dataset = 48.77 MB
(4) Total size of the augmented ripeness dataset = 297.89 MB

Data Acquisition Process:
Images were captured using a high-quality DSLR camera to ensure optimal detail for computer vision analysis.

Data Source Location:
Traditional markets, minimarkets, and supermarkets across various areas of Surabaya City, East Java, Indonesia, as well as harvests from farms in Tulungagung Regency, East Java, Indonesia.

Dataset Applications:
This dataset is designed to support machine learning (ML), deep learning (DL), and computer vision (CV) applications for identifying banana varieties and ripeness stages. It is also relevant for developing image-based automated systems for pre-harvest and post-harvest analysis, including variety classification and ripeness assessment.
DOI: 10.5281/zenodo.17855657
title: LA REESCRITURA DEL SILENCIO: UN ANÁLISIS COMPARATIVO EXHAUSTIVO DE LA CONSTRUCCIÓN ONTOLÓGICA Y DISCURSIVA DE ALDONZA/DULCINEA EN DON QUIJOTE Y JUGUETES LÍRICOS BAJO EL PRISMA DE LA CRÍTICA FEMINISTA

description: Este informe de investigación propone un análisis comparativo exhaustivo entre la construcción del personaje de Aldonza/Dulcinea en Don Quijote de la Mancha (1605/1615) de Miguel de Cervantes y en Juguetes Líricos (2025) de José Carlos Turrado de la Fuente, bajo el prisma de la crítica feminista contemporánea. La hipótesis central sostiene que mientras Cervantes construye a Dulcinea como un objeto pasivo de idealización necesario para la parodia del amor cortés —borrando efectivamente a la mujer real, Aldonza Lorenzo—, Turrado de la Fuente reconstruye a Aldonza como un sujeto activo que adquiere voz para denunciar su propia invisibilización histórica y literaria.

El estudio analiza las tensiones dialécticas entre el ideal y lo real, el silencio y la voz, la objetualización y la agencia, y la invisibilidad como recurso narrativo frente a la invisibilidad como violencia social. En el extenso poema "Fábula de Dulcinea" (574 versos en romance octosílabo), Turrado transgrede la norma cervantina y otorga voz a la mujer detrás del mito: Aldonza transita desde la pasividad objetual hacia una subjetividad activa, dolorosa, agónica y autoconsciente que articula su propia soledad, su envejecimiento, su deseo sexual frustrado y su invisibilización dentro de un entorno rural hostil y despoblado.

El marco teórico incluye conceptos como "el referente ausente" en la tradición patriarcal, la "mitopoiesis revisionista" de Alicia Ostriker, la teoría de la "re-visión" de Adrienne Rich, y la melancolía de género siguiendo a Judith Butler. El análisis demuestra una evolución radical: de la ausencia a la presencia, de la invisibilización como mecanismo narrativo a la invisibilización como denuncia poética, y del objeto del deseo ajeno al sujeto del deseo propio.
DOI: 10.5281/zenodo.17855658
title: LA REESCRITURA DEL SILENCIO: UN ANÁLISIS COMPARATIVO EXHAUSTIVO DE LA CONSTRUCCIÓN ONTOLÓGICA Y DISCURSIVA DE ALDONZA/DULCINEA EN DON QUIJOTE Y JUGUETES LÍRICOS BAJO EL PRISMA DE LA CRÍTICA FEMINISTA

description: Este informe de investigación propone un análisis comparativo exhaustivo entre la construcción del personaje de Aldonza/Dulcinea en Don Quijote de la Mancha (1605/1615) de Miguel de Cervantes y en Juguetes Líricos (2025) de José Carlos Turrado de la Fuente, bajo el prisma de la crítica feminista contemporánea. La hipótesis central sostiene que mientras Cervantes construye a Dulcinea como un objeto pasivo de idealización necesario para la parodia del amor cortés —borrando efectivamente a la mujer real, Aldonza Lorenzo—, Turrado de la Fuente reconstruye a Aldonza como un sujeto activo que adquiere voz para denunciar su propia invisibilización histórica y literaria.

El estudio analiza las tensiones dialécticas entre el ideal y lo real, el silencio y la voz, la objetualización y la agencia, y la invisibilidad como recurso narrativo frente a la invisibilidad como violencia social. En el extenso poema "Fábula de Dulcinea" (574 versos en romance octosílabo), Turrado transgrede la norma cervantina y otorga voz a la mujer detrás del mito: Aldonza transita desde la pasividad objetual hacia una subjetividad activa, dolorosa, agónica y autoconsciente que articula su propia soledad, su envejecimiento, su deseo sexual frustrado y su invisibilización dentro de un entorno rural hostil y despoblado.

El marco teórico incluye conceptos como "el referente ausente" en la tradición patriarcal, la "mitopoiesis revisionista" de Alicia Ostriker, la teoría de la "re-visión" de Adrienne Rich, y la melancolía de género siguiendo a Judith Butler. El análisis demuestra una evolución radical: de la ausencia a la presencia, de la invisibilización como mecanismo narrativo a la invisibilización como denuncia poética, y del objeto del deseo ajeno al sujeto del deseo propio.
DOI: 10.25921/c2hq-s940
title: Oceanographic data collected during the EX2201: Mapping & ROV Shakedown expedition on NOAA Ship OKEANOS EXPLORER in the Gulf of America from 2022-02-23 to 2022-03-03 (NCEI Accession 0251689)

description: This dataset contains oceanographic data collected from NOAA Ship OKEANOS EXPLORER in the Gulf of America from 2022-02-23 to 2022-03-03. Data acquisition from shipboard sensors includes navigational data, meteorological data (wind), and oceanographic data (sound velocity probe, thermosalinograph). Additional data includes Profile Data (ASVP and CTD), event logs, images, ROV ancillary data, ADCP data, and specimen data.
DOI: 10.17632/2v9gyhjxjv
title: Trust in Emergency Response: Dataset on Time Pressure and AI Status

description: This dataset contains experimental data from a study investigating how time pressure and AI status influence behavioral trust in emergency response tasks. The study involved 64 active fire commanders performing an emergency reconnaissance task, where participants selected appropriate unmanned aerial vehicles (UAVs) with the assistance of AI systems.

The data include measures of:

Time Pressure condition (with vs. without)

AI Status (superior vs. subordinate)

Behavioral trust toward AI recommendations

Perceived self-capability

Perceived AI capability

Perceived AI responsibility

Task performance outcomes

This dataset allows for analysis of the psychological mechanisms underlying human–AI trust, including the mediating role of perceived capabilities and responsibility. It can be used to examine how differences in perceived capability between humans and AI shape trust behavior in time-critical decision-making contexts.
DOI: 10.17632/2v9gyhjxjv.1
title: Trust in Emergency Response: Dataset on Time Pressure and AI Status

description: This dataset contains experimental data from a study investigating how time pressure and AI status influence behavioral trust in emergency response tasks. The study involved 64 active fire commanders performing an emergency reconnaissance task, where participants selected appropriate unmanned aerial vehicles (UAVs) with the assistance of AI systems.

The data include measures of:

Time Pressure condition (with vs. without)

AI Status (superior vs. subordinate)

Behavioral trust toward AI recommendations

Perceived self-capability

Perceived AI capability

Perceived AI responsibility

Task performance outcomes

This dataset allows for analysis of the psychological mechanisms underlying human–AI trust, including the mediating role of perceived capabilities and responsibility. It can be used to examine how differences in perceived capability between humans and AI shape trust behavior in time-critical decision-making contexts.
DOI: 10.48472/deposita/i01sgl
title: Produção do conhecimento sobre Educação Profissional no Brasil

description: Conjunto de dados trata-se do levantamento da produção do conhecimento em revistas nacionais e internacionais, realizado entre março e abril de 2015, sobre o campo da Educação Profissional no Brasil para estudo de configuração do campo científico.
DOI: 10.17632/gft2rrtd7r.3
title: Supplemental materials for study "Impact of the methotrexate co-prescription on the persistence of TNF inhibitors in psoriasis: a cohort study on the French National Health Data System"

description: This supplemental material provides additional methodological details, definitions, and results supporting the main analysis.

Data Source: Describes the French national health data system (SNDS), and approvals for study.

Marginal Structural Models (MSMs) with Inverse Probability Treatment Weighting (IPTW): Provides a detailed explanation of the statistical modeling framework used to estimate the causal effect of concomitant methotrexate (MTX) on TNFi persistence, including model specification, weight construction, stabilization, and truncation procedures.

Supplemental Tables I–VI:

Table I: Lists the ATC codes and definitions used to identify medication exposures.

Table II: Describes algorithms for identifying comorbidities and related diagnoses from administrative data.

Table III: Summarizes baseline characteristics of the study population across MTX exposure levels.

Table IV: Presents detailed distributions of continuous and categorical MTX exposure across dosing regimens and calculation methods over trimesters.

Table V: Reports results from sensitivity analyses assessing the robustness of the main findings under alternative definitions of MTX exposure.

Table VI: Provides subgroup analyses evaluating the impact of concomitant MTX use on adalimumab persistence.

Supplemental Figure 1: Displays a directed acyclic graph (DAG) illustrating the hypothesized relationships among biologic persistence, concomitant MTX use, and time-varying confounders.
DOI: 10.17632/7zx82byrcc
title: REST-COAST Sicily - SWAN+XBeach flood model results

description: The dataset include results from a SWAN+XBeach hydro-morphodynamic modelling chain to simulate flood areas in the Cuba-Longarini case study in the South-East of Sicily (Granelli). The results show flooded areas of the beach village of Granelli due to a storm-peak sea state associated with 100 and 50 years return periods. Floods are simulated for present and two climate change projected scenarios (SSP2-4.5 and SSP5-8.5) with two time horizons (2070 and 2100). The model was used to evaluate the performance of a range of NbS compared with a no-NbS case. The dataset include: the main inputs at the model, i.e. significant wave height and sea level rise; the simulation scenario (presence of absence of NbS) and the main output being the flooded city area. Details on the modelling setup can be found at the following:

Marino, M., Nasca, S., Alkharoubi, A. I., Cavallaro, L., Foti, E., & Musumeci, R. E. (2025). Efficacy of Nature-based Solutions for coastal protection under a changing climate: A modelling approach. Coastal Engineering, 198, 104700.

Marino, M., Baptist, M. J., Alkharoubi, A. I., Nasca, S., Cavallaro, L., Foti, E., & Musumeci, R. E. (2025). Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment. Scientific Reports, 15(1), 12070.
DOI: 10.17632/7zx82byrcc.1
title: REST-COAST Sicily - SWAN+XBeach flood model results

description: The dataset include results from a SWAN+XBeach hydro-morphodynamic modelling chain to simulate flood areas in the Cuba-Longarini case study in the South-East of Sicily (Granelli). The results show flooded areas of the beach village of Granelli due to a storm-peak sea state associated with 100 and 50 years return periods. Floods are simulated for present and two climate change projected scenarios (SSP2-4.5 and SSP5-8.5) with two time horizons (2070 and 2100). The model was used to evaluate the performance of a range of NbS compared with a no-NbS case. The dataset include: the main inputs at the model, i.e. significant wave height and sea level rise; the simulation scenario (presence of absence of NbS) and the main output being the flooded city area. Details on the modelling setup can be found at the following:

Marino, M., Nasca, S., Alkharoubi, A. I., Cavallaro, L., Foti, E., & Musumeci, R. E. (2025). Efficacy of Nature-based Solutions for coastal protection under a changing climate: A modelling approach. Coastal Engineering, 198, 104700.

Marino, M., Baptist, M. J., Alkharoubi, A. I., Nasca, S., Cavallaro, L., Foti, E., & Musumeci, R. E. (2025). Nature-based Solutions as Building Blocks for coastal flood risk reduction: a model-based ecosystem service assessment. Scientific Reports, 15(1), 12070.
DOI: 10.25921/zf8y-dw74
title: Oceanographic data collected during the EX2202: Caribbean Mapping (MACHC partnership) expedition on NOAA Ship OKEANOS EXPLORER from 2022-03-10 to 2022-03-28 (NCEI Accession 0253465)

description: This dataset contains oceanographic data collected from NOAA Ship OKEANOS EXPLORER from 2022-03-10 to 2022-03-28. Data acquisition from shipboard sensors includes navigational data, meteorological data (altimetry, conductivity, depth, dew point, fluorescence, oxygen, pressure, relative humidity, relative wind speed, salinity, sound speed, sound velocity, temperature, true wind, turbidity, water temperature, wind, wind direction, wind speed), vehicle data (ROV time to surface, traction winch data, line rate data), ADCP Data, and Profile Data (ASVP and XBT).
DOI: 10.17632/y7txs8gvmk.1
title: Input Data dan Output SmartPLS 4: Pengaruh Perceived Ease Of Use, Perceived Usefulness, dan Perceived Risk Terhadap Adoption Intention dengan Attitude Sebagai Variabel Mediasi dan Financial Incentive Sebagai Variabel Moderasi

description: Data yang diinput dalam SmartPLS berasal dari kuesioner yang sebarkan secara digital mulai tanggal 26 November hingga 4 Desember 2025 melalui berbagai sosial media, dengan total responden 224 dan 201 yang peneliti nyatakan Valid. Data yang valid di analisis menggunakan bantuan software SmartPLS 4.1.1.6 menggunakan metode Partial Least Squares based Structural Equation Modeling (PLS-SEM).
DOI: 10.25921/9nax-a961
title: Oceanographic data collected during the EX2203: North Puerto Rico Mapping and Deep-Sea Camera Demonstration expedition on NOAA Ship OKEANOS EXPLORER from 2022-04-04 to 2022-04-28 (NCEI Accession 0253607)

description: This dataset contains oceanographic data collected from NOAA Ship OKEANOS EXPLORER from 2022-04-04 to 2022-04-28. Data acquisition from shipboard sensors includes navigational data, meteorological data (altimetry, conductivity, depth, dew point, fluorescence, oxygen, pressure, relative humidity, relative wind speed, salinity, sound speed, sound velocity, temperature, true wind, turbidity, water temperature, wind, wind direction, wind speed), vehicle data (ROV time to surface, traction winch data, line rate data), ADCP Data, and Profile Data (ASVP and XBT).
DOI: 10.15468/dl.js7twn
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mantophryne menziesi"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037523-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z24ggxmg5f.1
title: Modular Open-Source Stirred Tank Reactor (MOSTR)

description: This repository contains data related to the open-source, Internet of Things (IoT)-enabled Modular Open-Source Stirred Tank Reactor (MOSTR), developed for teaching chemical engineering principles such as residence time distribution, flow balancing, and process instrumentation within higher education laboratories. The system is designed as a low-cost, educational informed, modular alternative to commercial teaching units and allows the simultaneous deployment of multiple rigs to enhance engagement and inclusivity in practical learning at scale. The reactor integrates an M5Stack-based control unit with flow, temperature and conductivity sensing and real-time data streaming via wi-fi and Virtual Machine (VM) server infrastructure. The design emphasizes open source reproducibility using accessible fabrication techniques such as 3D printing and prioritises maintainability and pedagogical alignment. All design files, firmware, and documentation are shared under a CC BY 4.0 licence to support adoption and adaptation in open engineering education.
DOI: 10.25921/n523-3s72
title: Oceanographic data collected during the EX2204: Voyage to the Ridge 1 (Mapping) expedition on NOAA Ship OKEANOS EXPLORER from 2022-05-14 to 2022-06-07 (NCEI Accession 0256008)

description: This dataset contains oceanographic data collected from NOAA Ship OKEANOS EXPLORER from 2022-05-14 to 2022-06-07. Data acquisition from shipboard sensors includes navigational data, meteorological data (altimetry, conductivity, depth, dew point, fluorescence, oxygen, pressure, relative humidity, relative wind speed, salinity, sound speed, sound velocity, temperature, true wind, turbidity, water temperature, wind, wind direction, wind speed), vehicle data (ROV time to surface, traction winch data, line rate data), ADCP Data, and Profile Data (ASVP and XBT).
DOI: 10.15468/dl.78w53a
title: Occurrence Download

description: A dataset containing 209125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-520.0",
 "Geometry POLYGON((-12.419 53.34991,-10.80837 35.04727,12.17975 37.68285,30.84844 34.24195,36.55886 43.83254,40.43902 48.4448,32.31265 54.15523,28.21286 56.57118,29.09139 60.2317,32.82512 61.40307,31.43412 70.55439,19.64722 71.94539,-12.419 53.34991))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Sciurus vulgaris Linnaeus, 1758"
 ]
}

 The dataset includes 209125 records from 540 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023685-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ttmghxd4j3
title: Water circulation measurements under a hovering drone

description: Experiments were conducted in a water flume located at Coastal Carolina University filled to a depth of 36 cm. A drone was secured across the top of the flume at 20 cm above this water line. The drone was operated, and the max air flow speed over an approximately 30 s period was recorded for several drone operational speeds. Nominal air flow speeds of 5 m/s, 7.5 m/s, and 10 m/s were studied – exact max air flow speeds for each case are reported in the publication (see included metadata for citation). Water flow measurements were performed using the particle image velocimetry (PIV) flow measurement technique along the center of the water channel, imaging 2D flow velocities (u, v) in the along-channel (x) and vertical directions (y). The measurements were either directly under the body of the drone or directly under one of the drone blades/rotors. Coordinate system is referenced to drone center bottom.
DOI: 10.17632/ttmghxd4j3.2
title: Water circulation measurements under a hovering drone

description: Experiments were conducted in a water flume located at Coastal Carolina University filled to a depth of 36 cm. A drone was secured across the top of the flume at 20 cm above this water line. The drone was operated, and the max air flow speed over an approximately 30 s period was recorded for several drone operational speeds. Nominal air flow speeds of 5 m/s, 7.5 m/s, and 10 m/s were studied – exact max air flow speeds for each case are reported in the publication (see included metadata for citation). Water flow measurements were performed using the particle image velocimetry (PIV) flow measurement technique along the center of the water channel, imaging 2D flow velocities (u, v) in the along-channel (x) and vertical directions (y). The measurements were either directly under the body of the drone or directly under one of the drone blades/rotors. Coordinate system is referenced to drone center bottom.
DOI: 10.25921/479v-v888
title: Oceanographic data collected during the EX2205: Voyage to the Ridge 2 (ROV and Mapping) expedition on NOAA Ship OKEANOS EXPLORER in the North Atlantic Ocean from 2022-07-09 to 2022-07-30 (NCEI Accession 0259299)

description: This dataset contains oceanographic data collected from NOAA Ship OKEANOS EXPLORER in the North Atlantic Ocean from 2022-07-09 to 2022-07-30. Data acquisition from shipboard sensors includes navigational data, meteorological data (altimetry, conductivity, depth, dew point, fluorescence, oxygen, pressure, relative humidity, relative wind speed, salinity, sound speed, sound velocity, temperature, true wind, turbidity, water temperature, wind, wind direction, wind speed), vehicle data (ROV time to surface, traction winch data, line rate data), Profile Data (ASVP, CTD, and XBT), event logs, images, ROV ancillary data, ADCP data, and specimen data.
DOI: 10.15468/dl.s5h575
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe evei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037528-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hgc6jb2zcv
title: Data for: Mercury Isotope Perspectives on Vegetation-Enhanced Nickel Mobilization and Migration During Laterite Formation

description: Raw data for all figures and tables in the manuscript authored by Ruolin Liu, titled "Generation of Nickel Laterites on Ultramafic Rocks Enhanced by Vegetation," submitted for publication in Geochimica et Cosmochimica Acta.
DOI: 10.17632/hgc6jb2zcv.4
title: Data for: Mercury Isotope Perspectives on Vegetation-Enhanced Nickel Mobilization and Migration During Laterite Formation

description: Raw data for all figures and tables in the manuscript authored by Ruolin Liu, titled "Generation of Nickel Laterites on Ultramafic Rocks Enhanced by Vegetation," submitted for publication in Geochimica et Cosmochimica Acta.