cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25740/vr245mb0004
title: Supplemental materials for: Hot surface ignition of sustainable aviation fuels under well-controlled thermally stratified test conditions

description: Flammable liquids leaking on hot surfaces are an ignition hazard for fires in aircraft, vehicles, and heavy machinery. Engineering analysis to assess fire risk in these devices, must account for the flammability properties of fuels and other liquids. The autoignition temperature (AIT) is most often used for this purpose. AIT is determined following a standard procedure such as ASTM E659, but it is well-established that the minimum ignition temperature in practical industrial configurations is often significantly higher than the AIT. In this work, we introduce a canonical experimental apparatus that addresses this gap. This proposed apparatus enables the characterization of the probabilistic hot surface ignition behavior of flammable liquids in configurations featuring thermal stratification and reduced residence times compared to ASTM E659. It is highly flexible, enabling testing with various surface materials, droplet diameter, impact velocities, and repetition rate. The introduction of automated optical diagnostic enables rapid testing of multiple fuels. The main focus of the present work is to demonstrate the repeatability of the measurements conducted in this apparatus: In repeated experiments with n-hexane, we find that the standard deviation of the hot surface ignition temperature is 3.8 K. A thorough analysis of the experimental uncertainties is also conducted. We demonstrate the capabilities of the apparatus by examining fuel effects on the ignition behavior of eight fuels: n-hexane, a conventionally-derived Jet-A fuel, and six synthetic aviation turbine fuels and blending compounds (SAFs). We find that the 50 % ignition probability temperature of the most ignitable and least ignitable of our six SAFs differed by 70 K, which motivates future efforts to better account for fuel effects in ignition risk analysis as new SAFs are rapidly entering the aviation fuel market.

This deposit contains the supplementary materials for this article: composition of the fuel samples and experimental data.
DOI: 10.15468/dl.drj7mc
title: Occurrence Download

description: A dataset containing 6811746 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 6811746 records from 695 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003303-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8zznr
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinocarpos muricatus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 117 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003309-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18440571
title: Dataset on University Business Students' Perceptions of Competency Development With Generative AI

description: This dataset contains survey data collected in 2025 from university students of economics in the Czech Republic, Germany, and Taiwan. It explores students’ perceptions of competency development associated with the use of generative artificial intelligence (GenAI) based on an anonymous questionnaire. All data are fully anonymised and suitable for secondary research in higher education and AI-related skills development.
DOI: 10.5281/zenodo.18440572
title: Dataset on University Business Students' Perceptions of Competency Development With Generative AI

description: This dataset contains survey data collected in 2025 from university students of economics in the Czech Republic, Germany, and Taiwan. It explores students’ perceptions of competency development associated with the use of generative artificial intelligence (GenAI) based on an anonymous questionnaire. All data are fully anonymised and suitable for secondary research in higher education and AI-related skills development.
DOI: 10.15468/dl.vmeujc
title: Occurrence Download

description: A dataset containing 573 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinodendron heudelotii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 573 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003311-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.65busq
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-60.5 -65,-43.5 -65,-43.5 -59,-60.5 -59,-60.5 -65))",
 "OccurrenceStatus is Present",
 "TaxonKey is Chaenocephalus aceratus",
 "Year 2003-2023"
 ]
}

 The dataset includes 246 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003310-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18440524
title: Adaptive Fuzzy Heading Angle Control for Unmanned Surface Vehicles Based on Convex Optimization
DOI: 10.5281/zenodo.18440720
title: . mt
DOI: 10.5281/zenodo.18440721
title: . mt
DOI: 10.15468/dl.ncahpn
title: Occurrence Download

description: A dataset containing 7142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ricinus communis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 7142 records from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003313-260129131611470/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.31220755
title: Raw data for: Effects of Trigona sp. Stingless Bee Honey on Fibroblast Density, Epithelialization, Interleukin-6 Levels, and Wound Area in Superficial Dermal Burns in Male Wistar Rats

description: This dataset contains the raw data supporting the findings published in [Nama Journal, jika sudah accepted]. The dataset includes measurements of fibroblast count, epithelialization thickness, IL-6 levels, and wound area for all 34 rats (17 treatment, 17 control) at day 7 post-burn.
DOI: 10.6084/m9.figshare.31220755.v1
title: Supplementary data for manuscript "EFFECTS OF TRIGONA SP. STINGLESS BEE HONEY ON FIBROBLAST DENSITY, EPITHELIALIZATION, INTERLEUKIN-6 LEVELS, AND WOUND AREA IN SUPERFICIAL DERMAL BURNS IN MALE WISTAR RATS"

description: This is supplementary data for manuscript "EFFECTS OF TRIGONA SP. STINGLESS BEE HONEY ON FIBROBLAST DENSITY, EPITHELIALIZATION, INTERLEUKIN-6 LEVELS, AND WOUND AREA IN SUPERFICIAL DERMAL BURNS IN MALE WISTAR RATS"
DOI: 10.6084/m9.figshare.31220755.v2
title: Raw data for: Effects of Trigona sp. Stingless Bee Honey on Fibroblast Density, Epithelialization, Interleukin-6 Levels, and Wound Area in Superficial Dermal Burns in Male Wistar Rats

description: This dataset contains the raw data supporting the findings published in [Nama Journal, jika sudah accepted]. The dataset includes measurements of fibroblast count, epithelialization thickness, IL-6 levels, and wound area for all 34 rats (17 treatment, 17 control) at day 7 post-burn.
DOI: 10.15468/dl.79n6uw
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rockinghamia angustifolia",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 297 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003314-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18428215
title: Wildfire CE - Data for Fuel and Fire Modelling

description: This repository collects data needed for modelling fire behaviour and further wildfire danger maps at  pilot regions for the Wildfire CE project.  For also the same data clipped to pilot sites, please use this link.

For direct visualization please use the GEE app https://progetto-eu-h2020-cirgeo.projects.earthengine.app/view/wildfire.

Data layers



raster of Canopy Height Model (m)

raster of Canopy Base Height (m)

raster of Canopy Bulk Density (kg/m3)

raster of Topography DEM (m a.s.l.) from   https://doi.org/10.5281/zenodo.4056634

raster of Topography Slope (percentage)

raster of Topography Aspect (degrees with respect to North, clockwise direction)

vector of Roads from Open Street Map (https://wiki.openstreetmap.org/wiki/Key:highway)

vector of Pilot Sites area and of Pilot Regions

raster of Fuel Models according to Scott&Burgan Scott JH, Burgan RE (2005) Standard fire behavior fuel models: A comprehensive set for use with Rothermel’s surface fire spread model. USDA Forest Service - General Technical Report RMRS-GTR 1–76. doi:10.2737/RMRS-GTR-153


Other layers



FuelModel_ScottBurganClasses.(qml,sld) QML (QGIS style file) and SLD (Styled Layer Descriptor file) for Fuel Models


Files naming convention

The file naming without the extents uses the following syntax:  <group>_<NUTS-IDs>_<layer> 

<group>       Areas are grouped in  pilot regions or pilot sites (in this version only pilot regions).       Examples:          pilotRegions      = regional-scale datasets           pilotSites        =   localized study areas <NUTS-IDs>       NUTS codes of participating countries separated by '-'       Examples:           AT-CZ     = Austria / Czech Republic           IT-SI     = Italy / Slovenia            DE-CZ     = Germany / Czech Republic  <layer>       short, lowercase descriptors using underscores between levels of description       Examples:           topography_dem           topography_slopeDegrees           canopy_canopyBaseHeight           canopy_canopyBulkDensity  

Grid alignment 

All data are in the coordinate reference system EPSG:3035 ETRS89-extended / LAEA Europe and grid cells are at 30 x 30 m cells. It is an equal-area  projection, it preserves areas across its bounds so each pixel is 900 m2.  Axes origin is at 10° East and 52° North and the false Easting and Northing are respectively 4321000 m and 3210000 m . All 30 m cells are aligned to this origin, i.e. a 30x30 m cell at the origin will have its cell center at 4321015 m E and 3210015 m N and the left-bottom corner at 4321000 m E and 3210000 m N.

Formats

All raster files are at 30 m cell resolution in GeoTIFF with LZW compression in 32 bit floating point values and cloud-optimized (pyramid internal layers). - only rasters with fuel Models are in 8-bit integer format.

All vector files are in Geopackage format.
DOI: 10.5281/zenodo.7367870
title: Wildfire CE - Data for Fuel and Fire Modelling

description: This repository collects data needed for modelling fire behaviour and further wildfire danger maps at  pilot regions for the Wildfire CE project.  For also the same data clipped to pilot sites, please use this link.

For direct visualization please use the GEE app https://progetto-eu-h2020-cirgeo.projects.earthengine.app/view/wildfire.

Data layers



raster of Canopy Height Model (m)

raster of Canopy Base Height (m)

raster of Canopy Bulk Density (kg/m3)

raster of Topography DEM (m a.s.l.) from   https://doi.org/10.5281/zenodo.4056634

raster of Topography Slope (percentage)

raster of Topography Aspect (degrees with respect to North, clockwise direction)

vector of Roads from Open Street Map (https://wiki.openstreetmap.org/wiki/Key:highway)

vector of Pilot Sites area and of Pilot Regions

raster of Fuel Models according to Scott&Burgan Scott JH, Burgan RE (2005) Standard fire behavior fuel models: A comprehensive set for use with Rothermel’s surface fire spread model. USDA Forest Service - General Technical Report RMRS-GTR 1–76. doi:10.2737/RMRS-GTR-153


Other layers



FuelModel_ScottBurganClasses.(qml,sld) QML (QGIS style file) and SLD (Styled Layer Descriptor file) for Fuel Models


Files naming convention

The file naming without the extents uses the following syntax:  <group>_<NUTS-IDs>_<layer> 

<group>       Areas are grouped in  pilot regions or pilot sites (in this version only pilot regions).       Examples:          pilotRegions      = regional-scale datasets           pilotSites        =   localized study areas <NUTS-IDs>       NUTS codes of participating countries separated by '-'       Examples:           AT-CZ     = Austria / Czech Republic           IT-SI     = Italy / Slovenia            DE-CZ     = Germany / Czech Republic  <layer>       short, lowercase descriptors using underscores between levels of description       Examples:           topography_dem           topography_slopeDegrees           canopy_canopyBaseHeight           canopy_canopyBulkDensity  

Grid alignment 

All data are in the coordinate reference system EPSG:3035 ETRS89-extended / LAEA Europe and grid cells are at 30 x 30 m cells. It is an equal-area  projection, it preserves areas across its bounds so each pixel is 900 m2.  Axes origin is at 10° East and 52° North and the false Easting and Northing are respectively 4321000 m and 3210000 m . All 30 m cells are aligned to this origin, i.e. a 30x30 m cell at the origin will have its cell center at 4321015 m E and 3210015 m N and the left-bottom corner at 4321000 m E and 3210000 m N.

Formats

All raster files are at 30 m cell resolution in GeoTIFF with LZW compression in 32 bit floating point values and cloud-optimized (pyramid internal layers). - only rasters with fuel Models are in 8-bit integer format.

All vector files are in Geopackage format.
DOI: 10.15468/dl.vtmurb
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Romanoa tamnoides",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 288 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003315-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13020/kafz-yc82
title: Supporting Data for Spectral Engineering with Quantum Dot Films for Enhanced Lettuce Growth

description: To improve crop yields without the added cost of supplementary lighting, passive spectral manipulation shifts sunlight into critical wavebands for plant growth. Quantum dot (QD) films shift higher energy photons to lower energies, serving as tunable sunlight filters, but are understudied in this application space. Herein, we identify QD film properties to pro-mote lettuce growth. By simulating films with nine different nontoxic QDs, we calculate a concentration-dependent lettuce yield improvement of up to 45%. QDs that strongly absorb blue/green light and downshift this light to red/far-red wavebands result in the highest lettuce yield enhancements. Despite this strong absorption, we find that QD films can be utilized broadly in the United States. Contrary to common intuition, increasing the photoluminescence quantum yield or film outcoupling efficiency does not further increase lettuce yield, indicating that filtered absorption is the most important factor in design. This study points to the need for more directed investigation into QD films for increasing plant growth.
description: Nine .csv files were used to conduct the simulations and generate the figures reported in the journal article and its corresponding supporting information file.
DOI: 10.15468/dl.9eh5pd
title: Occurrence Download

description: A dataset containing 5861 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Anidación de tortugas de río en el Parque Cahuinarí, temporada 2014 a 2020"
 ]
}

 The dataset includes 5861 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010222-250525065834625/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.22691239.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.15468/dl.kdep7y
title: Occurrence Download

description: A dataset containing 1026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Monarda fistulosa L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1026 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012877-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2j3dpx83w6
title: Distinct tumor-infiltrating lymphocyte landscapes are associated with clinical outcomes in localized non-small cell lung cancer

description: Raw data for "Distinct tumor-infiltrating lymphocyte landscapes are associated with clinical outcomes in localized non-small cell lung cancer"
DOI: 10.17632/9p6wpvxt9c
title: Pengaduan Kota Denpasar 2014 - 2023

description: Tentang Pro Denpasar

Pengaduan Rakyat Online Kota Denpasar (PRODENPASAR) adalah aplikasi berbasis website yang melibatkan partisipasi publik dan bersifat dua arah, yang digunakan sebagai alat bantu untuk melakukan monitoring dan verifikasi capaian program pembangunan maupun pengaduan masyarakat terkait pelaksanaan program pembangunan di Kota Denpasar. PRODENPASAR dikembangkan oleh Dinas Komunikasi dan Informatika Kota Denpasar.

Aplikasi PRODENPASAR berupaya untuk menjembatani partisipasi publik dalam pembangunan daerah antara masyarakat umum dengan Pemerintah Kota Denpasar. Masyarakat umum dapat memberikan pelaporan tentang pembangunan yang akan ditinjau dan didisposisikan oleh tim verifikasi PRODENPASAR kepada Instansi yang terkait untuk ditindaklanjuti.


About Pro Denpasar

Denpasar City Online Public Complaints (PRODENPASAR) is a website-based application that involves public participation and is two-way, which is used as a tool to monitor and verify the achievements of development programs and public complaints related to the implementation of development programs in Denpasar City. PRODENPASAR was developed by the Denpasar City Communication and Informatics Office.

The PRODENPASAR application seeks to bridge public participation in regional development between the general public and the Denpasar City Government. The general public can provide reports on development that will be reviewed and disposed of by the PRODENPASAR verification team to the relevant agencies for follow-up.
DOI: 10.17632/b5yk8cyvp3
title: The Economic Costs of Trade Sanctions: Evidence from North Korea

description: Code and data for replicating the results in our paper "The Economic Costs of Trade Sanctions: Evidence from North Korea"
DOI: 10.17632/rckgk7gz5m
title: Electromechanical Tensile Test Equipment for Stretchable Conductive Materials 

description: The demand for soft and conductive materials has intensified due to the increased interest in soft robotics. Consequently, researchers strive to realize easy, fast, and cost-effective fabrication methods. To evaluate the mechanical properties of materials requires tensile testing. However, the availability of an electromechanical tensile test to assess the quality of the electromechanical properties of stretchable conductive materials has yet to be widely commercialized. This situation has hindered the development of soft and stretchable conductive materials. Here, we develop a customized electromechanical tensile test for soft and stretchable materials. We integrate three standalone devices using Python software and provide a graphic user interface (GUI) for easy operation of the equipment. We expect that our customized electromechanical tensile test will contribute to advances in soft robotics, especially soft and stretchable sensors. Furthermore, our electromechanical setup can aid in the development of laboratory equipment and the understanding of the electromechanical properties of stretchable conductive materials.

FIle uploaded in this repository is an opensource software, 3D part design and movie for the supplementary data for the paper in Hardware X entitled above
DOI: 10.6084/m9.figshare.19800034.v1
title: Nitrogen input enhances microbial carbon use efficiency by altering plant-microbe-mineral interactions

description: Plant, geochemical and microbial properties in a multi-level field N addition experiment on the Tibetan Plateau.
DOI: 10.17632/54htxm94bv
title: Temperature and Humidity Dataset of an East-Facing South African Greenhouse Tunnel

description: The aim of this study was to model the thermal characteristics of an east-facing greenhouse tunnel in South Africa. The tunnel used has a fan and wet wall on opposite ends and is used to cool the tunnel when temperatures reach a certain threshold. In this study, the authors' research hypothesis was the development of accurate empirical and analytical thermal models that would be validated using the available measured data. Three temperature and humidity sensors were placed near the fan, the wet wall, and in the middle of the 29-meter-long tunnel. The middle sensor's temperature measurements were used to control when the fan turned on and off. When the temperature reached above 30 degrees Celcius the fan was turned on, and when the temperature reached 22 degrees Celcius the fan was turned off. This created an 8-degree Celcius hysteresis band in which the fan and wet wall was controlled. The ``Training Set.csv`` file was used to train a Support Vector Regression (SVR) model to predict and simulate temperatures an hour in advance using previous predictions. ''Test Set.csv'' was used to validate and measure the accuracy of the SVR model. Also, the analytical model's accuracy was measured using the ``Test Set.csv`` file to quantitatively compare the two models. The test set and training set encompasses 42 days of measurements, aggregated with solar radiation and ambient temperature measurements that were captured by MeteoBlue (www.meteoblue.com). As this weather data was in an hourly format and the three temperature and humidity sensor data was in 5-minute intervals, the data from MeteoBlue was linearly interpolated for improved model training. For the ``Full Data Set.csv``, the data includes 162 days of only the three sensor's temperature and humidity measurements, and the fan and wet wall state.