cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3kzr8mt8s2.2
title: Flood Amateur Video for Semantic Segmentation Dataset

description: This dataset is flood data in the city of Parepare, South Sulawesi Province, which contains video data collected from social media Instagram. This dataset was created to develop machine learning methods for recognizing floods and surrounding objects, specializing in semantic segmentation methods. This dataset consists of three folders, namely raw video data collected from Instagram, image data resulting from splitting the video into several images, and annotation data containing images that have been color-labeled according to their objects. There are 5 object classifications based on color labels, namely: floods (blue), buildings (red), plants (green), people (gray), and vehicles (orange). This dataset has data in image (JPEG/PNG) and video (MP4) formats. This dataset is suitable for object recognition tasks with the semantic segmentation method. In addition, because this dataset contains original data in the form of videos and images, it can be developed for other purposes in the future. As a note, if you intend to use this dataset, please ensure that you comply with applicable copyright, privacy, and regulatory requirements.
DOI: 10.25402/nnm.22189891.v1
title: Cholesterol enhances the negative impact of vaping additives on lung surfactant model systems - Supplementary dataset

description: Aims: Vaping has given rise to e-cigarette or vaping product use-associated lung injury. Model lung
surfactant films were used to assess the impact of vape additives (vitamin E, vitamin E acetate,
tetrahydrocannabinol, cannabidiol). This work builds upon our previous findings, by incorporating cholesterol, to understand the interplay between the additives and the sterol in surfactant function.
Materials & methods: Compression–expansion cycles of lipid monofilm at the air–water interface and
Brewster angle microscopy allowed elucidating the effects of vape additives. Results & conclusion: Vape
additives at 5 mol% inhibited proper lipid packing and reduced film stability. Cholesterol enhanced the
additive effects, resulting in significantly destabilized films and altered domains. The observed impact could signify dysfunctional lung surfactant and impaired lung function.
DOI: 10.17632/7bv6wyvzjg.2
title: IOB_TestHouse_Ventilation_WindowOpenings_MetabolicCO2

description: Data from a 3-month campaign in a naturally ventilated test house.
Occupancy and window opening schedules are consistent with typical summer use
Weatherdata, indoor metabolic CO2, temperatures, relative humidity, and air velocity are measured at various positions for a 1min timestep
DOI: 10.25402/nnm.22348480
title: Nanoparticles in induced sputum – a window to airway inflammation among active smokers - Supplementary data

description: Aims: To evaluate the role of nanoparticles (NP) in sputum samples of active smokers as markers of
inflammation and disease. Materials & methods: 29 active smokers were included (14 with chronic
obstructive pulmonary disease [COPD]) and underwent clinical assessment, pulmonary function tests,
sputum induction (with NP analysis) and blood sampling. Results: Higher particle and NP concentrations
and smaller mean size directly correlated with clinical parameters such as the COPD Assessment Test score
and impulse oscillometry results. Similar correlations were found between NPs and increased sputum IL-
1β, IL-6 and TNF-α. Among COPD patients, higher IL-8 and lower IL-10 serum levels also correlated with
NP concentrations. Conclusion: This proof-of-concept study shows the potential of sputum NPs as markers
of airway inflammation and disease.
DOI: 10.25402/nnm.22664635
title: Nano–bio interactions of upconversion nanoparticles at subcellular level: biodistribution and cytotoxicity

description: Background: Modern medicine requires intensive research to find new diagnostic and therapeutic
solutions. Recently, upconverting nanoparticles (UCNPs) doped with lanthanide ions have attracted
significant attention. Methods: The efficient internalization of UCNPs by cells was confirmed, and their
precise cellular localization was determined by electron microscopy and confocal studies. Results: UCNPs
colocalized only with specific organelles, such as early endosomes, late endosomes and lysosomes.
Furthermore, experiments with chemical inhibitors confirmed the involvement of endocytosis in
UCNPs internalization and helped select several mechanisms involved in internalization. Exposure to
selected UCNPs concentrations did not show significant cytotoxicity, induction of oxidative stress or
ultrastructural changes in cells. Conclusion: This study suggests that UCNPs offer new diagnostic options
for biomedical infrared imaging.
DOI: 10.25402/nnm.22925222
title: Preparation of a shared chip for cell capturing and imaging with nanoparticle scaffold, nanogap and circulating tumor cell detection supplementary information

description: Aim: To achieve accurate detection of circulating tumor cells (CTCs) in a large-volume sample. Materials &
methods: Silica nanoparticles were crosslinked layer-by-layer on glass slides as the substrate of a chip using
polyacrylic acid. Polyacrylic acid was immobilized as a spacer and capture ligands were immobilized on the
spacer. Results: The chip can be integrally applied to capture, post-treatment and imaging detection for
CTCs. The detected cell numbers were 33 and 40 for 9 cell/ml samples and clinical blood samples (7.5 ml),
respectively. The detection ratio of positive samples was 100%. Conclusion: The significantly increased
detected number for CTCs indicates that this methodology may avoid or greatly reduce the false-negative
ratio of positive clinical samples.
DOI: 10.17632/3kzr8mt8s2.1
title: Flood Amateur Video for Semantic Segmentation Dataset

description: This dataset is flood data in the city of Parepare, South Sulawesi Province, which contains video data collected from social media Instagram. This dataset was created to develop machine learning methods for recognizing floods and surrounding objects, specializing in semantic segmentation methods. This dataset consists of three folders, namely raw video data collected from Instagram, image data resulting from splitting the video into several images, and annotation data containing images that have been color-labeled according to their objects. There are 5 object classifications based on color labels, namely: floods (blue), buildings (red), plants (green), people (gray), and vehicles (orange). This dataset has data in image (JPEG/PNG) and video (MP4) formats. This dataset is suitable for object recognition tasks with the semantic segmentation method. In addition, because this dataset contains original data in the form of videos and images, it can be developed for other purposes in the future. As a note, if you intend to use this dataset, please ensure that you comply with applicable copyright, privacy, and regulatory requirements.
DOI: 10.25402/nnm.23130248
title: Efficacy and safety of nano-paclitaxel formulation for cancer treatment: evidence from randomized clinical trials supplementary files

description: Aim: We aimed to analyze efficacy and adverse events for nano-bound paclitaxel in cancer treatment,
which remain controversial. Method: We obtained relevant previously published studies and extracted
data on the efficacy and adverse events of nano-bound paclitaxel. Fifteen randomized clinical trials
were included. Results: Nanoparticle albumin-bound (Nab-) paclitaxel was beneficial in terms of objective
response rate (odds ratio [OR]: 1.08, 95% CI: 0.72–1.62) and partial response (OR: 1.28, 95% CI: 0.89–1.83),
while polymeric micellar (PM-) paclitaxel was beneficial in terms of objective response rate (OR: 1.76) and
partial disease (hazard ratio [HR]: 0.65). Both Nab-paclitaxel and PM-paclitaxel resulted in slightly longer
overall survival (HR: 0.93 and 0.94) and progression-free survival (HR: 0.93 and 0.87) when compared with
solvent-based paclitaxel. Peripheral sensory neuropathy (OR: 3.47), neutropenia (OR: 1.79) and anemia
(OR: 1.79) were more frequent after Nab-paclitaxel treatment. Conclusion: Nano-paclitaxel formulations
have a better efficacy in cancer treatment; however, they increase the risk of hematological adverse events
and peripheral sensory neuropathy. The PM-paclitaxel treatment had a high safety effect.
DOI: 10.15468/dl.ud3sgv
title: Occurrence Download

description: A dataset containing 17627 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Solanum torvum Sw.)"
 ]
}

 The dataset includes 17627 records from 421 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019586-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2b9n4g
title: CCDC 2154225: Experimental Crystal Structure Determination

description: Related Article: Young Eum Hyun, Seungchan An, Minjae Kim, In Guk Park, Sanghee Yoon, Hafiz Muhammad Ahmad Javaid, Thi Ngoc Lan Vu, Gyudong Kim, Hongseok Choi, Hyuk Woo Lee, Minsoo Noh, Joo Young Huh, Sun Choi, Hong-Rae Kim, Lak Shin Jeong|2023|J.Med.Chem.|66|4961|doi:10.1021/acs.jmedchem.2c02071
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bl2yz
title: CCDC 2162341: Experimental Crystal Structure Determination

description: Related Article: Yue Zhang, Jing Li, Xiaoyu Liu, Wei Gao, Shuoshuo Song, Yaping Rong, Linyu Tan, Tatiana V. Glukhareva, Vasiliy A. Bakulev, Zhijin Fan |2023|J.Agric.Food Chem.|71|3705|doi:10.1021/acs.jafc.2c08504
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dgs5v
title: CCDC 2218737: Experimental Crystal Structure Determination

description: Related Article: Sylvain Picon, Rajaa Boulahjar, Vanessa Hoguet, Morgane Baron, Isabelle Duplan, Emmanuelle Vallez, Nathalie Hennuyer, Julie Dumont, Véronique Touche, Emilie Dorchies, Manuel Lasalle, Amandine Descat, Catherine Piveteau, Alexandre Biela, Ludovic Chaput, Bruno O. Villoutreix, Emmanuelle Lipka, Emmanuel Sevin, Maxime Culot, Fabien Gosselet, Sophie Lestavel, Pascal Roussel, Rebecca Deprez-Poulain, Florence Leroux, Bart Staels, Benoit Deprez, Anne Tailleux, Julie Charton|2023|J.Med.Chem.|66|11732|doi:10.1021/acs.jmedchem.2c01881
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.7c9bmt
title: Occurrence Download

description: A dataset containing 5093 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Fissidens crassipes Wilson ex Bruch & Schimp.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5093 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017950-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xx4na3
title: Occurrence Download

description: A dataset containing 2408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Fissidens gracilifolius Brugg.-Nann. & Nyholm)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2408 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017951-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.un6tam
title: Occurrence Download

description: A dataset containing 242372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cecropis daurica (Laxmann, 1769)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 242372 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017946-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.367476
title: Occurrence Download

description: A dataset containing 4166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Fissidens incurvus Starke ex Röhl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4166 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017952-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8t45ug
title: Occurrence Download

description: A dataset containing 5109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Fontinalis squamosa Hedw.)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5109 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017953-240906103802322/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.25241422
title: Engagement and Brand Recall in Software Developers: An Eye-Tracking Study on Advergames

description: Advergames represent an innovative product placement strategy that transcends traditional advertising by facilitating enhanced interaction between the brand and its target audience. This study explores the unique engagement opportunities that video games present, mainly through the lens of the 'flow experience'—a heightened state of immersion commonly experienced by players of computer games. Such immersive experiences can significantly alter a player's perception, providing a novel avenue for advergames to influence and engage their audience. The primary objective of this research was to investigate the impact of advergames on players who are deeply engrossed in the gaming experience, specifically focusing on the subsequent effects on brand recognition over time. The study enlisted 44 software developers, who were evenly divided into two groups for the experiment. Each group was exposed to the same gaming environment with a specific task: to locate a designated product within the game. However, one group engaged with a version of the game enriched with additional stimuli—such as dynamic music, an engaging storyline, time constraints, a competitive leaderboard, and immersive voice acting—to enhance the gaming experience. The experiment also strategically placed various products within the game to assess their detectability using eye-tracking technology. Upon completing the game, participants were asked to fill out questionnaires that gauged their flow state experience and brand name recall. The data collected were analyzed through the Mann-Whitney U test and correlation analysis to draw comparisons. Notably, the product associated with the primary task achieved the highest recall rate among both groups. Additionally, the study utilized eye-tracking technology to pinpoint the areas within the game that attracted the most attention, revealing a preference for mid- and high-level in-game placements over lower-level ones.Research game and source code: https://bitbucket.org/duyguakcan/supermarketgame/wiki/Home
DOI: 10.6084/m9.figshare.25241422.v2
title: Engagement and Brand Recall in Software Developers: An Eye-Tracking Study on Advergames

description: Advergames represent an innovative product placement strategy that transcends traditional advertising by facilitating enhanced interaction between the brand and its target audience. This study explores the unique engagement opportunities that video games present, mainly through the lens of the 'flow experience'—a heightened state of immersion commonly experienced by players of computer games. Such immersive experiences can significantly alter a player's perception, providing a novel avenue for advergames to influence and engage their audience. The primary objective of this research was to investigate the impact of advergames on players who are deeply engrossed in the gaming experience, specifically focusing on the subsequent effects on brand recognition over time. The study enlisted 44 software developers, who were evenly divided into two groups for the experiment. Each group was exposed to the same gaming environment with a specific task: to locate a designated product within the game. However, one group engaged with a version of the game enriched with additional stimuli—such as dynamic music, an engaging storyline, time constraints, a competitive leaderboard, and immersive voice acting—to enhance the gaming experience. The experiment also strategically placed various products within the game to assess their detectability using eye-tracking technology. Upon completing the game, participants were asked to fill out questionnaires that gauged their flow state experience and brand name recall. The data collected were analyzed through the Mann-Whitney U test and correlation analysis to draw comparisons. Notably, the product associated with the primary task achieved the highest recall rate among both groups. Additionally, the study utilized eye-tracking technology to pinpoint the areas within the game that attracted the most attention, revealing a preference for mid- and high-level in-game placements over lower-level ones.Research game and source code: https://bitbucket.org/duyguakcan/supermarketgame/wiki/Home
DOI: 10.6084/m9.figshare.25241422.v3
title: Engagement and Brand Recall in Software Developers: An Eye-Tracking Study on Advergames

description: Advergames represent an innovative product placement strategy that transcends traditional advertising by facilitating enhanced interaction between the brand and its target audience. This study explores the unique engagement opportunities that video games present, mainly through the lens of the 'flow experience'—a heightened state of immersion commonly experienced by players of computer games. Such immersive experiences can significantly alter a player's perception, providing a novel avenue for advergames to influence and engage their audience. The primary objective of this research was to investigate the impact of advergames on players who are deeply engrossed in the gaming experience, specifically focusing on the subsequent effects on brand recognition over time. The study enlisted 44 software developers, who were evenly divided into two groups for the experiment. Each group was exposed to the same gaming environment with a specific task: to locate a designated product within the game. However, one group engaged with a version of the game enriched with additional stimuli—such as dynamic music, an engaging storyline, time constraints, a competitive leaderboard, and immersive voice acting—to enhance the gaming experience. The experiment also strategically placed various products within the game to assess their detectability using eye-tracking technology. Upon completing the game, participants were asked to fill out questionnaires that gauged their flow state experience and brand name recall. The data collected were analyzed through the Mann-Whitney U test and correlation analysis to draw comparisons. Notably, the product associated with the primary task achieved the highest recall rate among both groups. Additionally, the study utilized eye-tracking technology to pinpoint the areas within the game that attracted the most attention, revealing a preference for mid- and high-level in-game placements over lower-level ones.Research game and source code: https://bitbucket.org/duyguakcan/supermarketgame/wiki/Home
DOI: 10.15468/dl.h3kbfp
title: Occurrence Download

description: A dataset containing 868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Formica aquilonia Yarrow, 1955)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 868 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017955-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4xm9d
title: Occurrence Download

description: A dataset containing 8358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Arisaema triphyllum (L.) Schott"
 ]
}

 The dataset includes 8358 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017954-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6tjvm4
title: Occurrence Download

description: A dataset containing 1920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Formica lugubris Zetterstedt, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1920 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017957-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wdhv9
title: Occurrence Download

description: A dataset containing 8967 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solidago missouriensis"
 ]
}

 The dataset includes 8967 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041994-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.