cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25442/hku.28021823
title: Supporting data for thesis titled "SARS-CoV-2 viral shedding and transmission during COVID-19 pandemic in Hong Kong"

description: This dataset was developed supporting analyses presented in Chapters 5–8 of the thesis. The dataset is organized into three sections. The first section, <b>s</b><b>hedding_</b><b>covid</b>, contains the data dictionary for hospital and epidemiological records used in Chapters 5–7. These records include de-identified patient records but cannot be shared publicly due to ethical and confidentiality restrictions.The second section, <b>c</b><b>t</b><b>_r</b><b>t_</b><b>hk</b>, includes the R scripts and simulated data used in Chapter 7. These data were generated using stochastic transmission models to study COVID-19 transmission in Hong Kong, including synthetic line lists, testing delay distributions, and viral load patterns. The third section, <b>CtRt_</b><b>s</b><b>imulation</b>, provides the simulated data and R scripts used in Chapter 8, which expands on the models in Chapter 7 to evaluate different scenarios. Both ct_rt_hk and CtRt_simulation are (or will be) openly available on GitHub under an open-access license, with accompanying documentation to ensure transparency and reproducibility.
DOI: 10.25442/hku.28021823.v1
title: Supporting data for thesis titled "SARS-CoV-2 viral shedding and transmission during COVID-19 pandemic in Hong Kong"

description: This dataset was developed supporting analyses presented in Chapters 5–8 of the thesis. The dataset is organized into three sections. The first section, <b>s</b><b>hedding_</b><b>covid</b>, contains the data dictionary for hospital and epidemiological records used in Chapters 5–7. These records include de-identified patient records but cannot be shared publicly due to ethical and confidentiality restrictions.The second section, <b>c</b><b>t</b><b>_r</b><b>t_</b><b>hk</b>, includes the R scripts and simulated data used in Chapter 7. These data were generated using stochastic transmission models to study COVID-19 transmission in Hong Kong, including synthetic line lists, testing delay distributions, and viral load patterns. The third section, <b>CtRt_</b><b>s</b><b>imulation</b>, provides the simulated data and R scripts used in Chapter 8, which expands on the models in Chapter 7 to evaluate different scenarios. Both ct_rt_hk and CtRt_simulation are (or will be) openly available on GitHub under an open-access license, with accompanying documentation to ensure transparency and reproducibility.
DOI: 10.35097/pxwzmagagqmcbrka
title: Data from Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) using Borehole Distributed Acoustic Sensing

description: Data associated to the research entitled "Seismic Monitoring of a Deep Geothermal Field in Munich (Germany) using Borehole Distributed Acoustic Sensing" published in Sensors – MDPI with following doi: 10.3390/s24103061 (Azzola and Gaucher, 2024). The folder contains the MiniSEED data files corresponding to the unfiltered DAS data for both seismic events studied in Azzola and Gaucher (2024), and the processing scripts used on local and cloud workstations for event detection and description. The folder also contains the associated python libraries. Additional details are included to the README text file. Author: Jerome Azzola [KIT], jerome.azzola@kit.edu
DOI: 10.15468/dl.4eh5u9
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uncaria borneensis Havil."
 ]
}

 The dataset includes 73 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062088-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/1019
title: Data set for ice nucleation by viruses and their potential for cloud glaciation

description: In order to effectively predict the formation of ice in clouds we need to know which subsets of aerosol particles are effective at nucleating ice, how they are distributed and where they are from. A large proportion of ice-nucleating particles (INPs) in many locations are likely of biological origin, and some INPs are extremely small being just tens of nanometers in size. The identity and sources of such INPs are not well characterized. Here, we show that several different types of virus particles can nucleate ice, with up to about one in twenty million virus particles able to nucleate ice at −20 °C. In terms of the impact on cloud glaciation, the ice-nucleating ability (the fraction which are ice nucleation active as a function of temperature) taken together with typical virus particle concentrations in the atmosphere lead to the conclusion that virus particles make a minor contribution to the atmospheric ice-nucleating particle population in the terrestrial influenced atmosphere. However, they cannot be ruled out as being important in the remote marine atmosphere. It is striking that virus particles have an ice-nucleating activity and further work should be done to explore other types of viruses for both their ice-nucleating potential and to understand the mechanism by which viruses nucleate ice.
DOI: 10.15468/dl.dhxnhy
title: Occurrence Download

description: A dataset containing 376595 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Observations.be - Non-native species occurrences in Wallonia, Belgium"
 ]
}

 The dataset includes 376595 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062066-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8xvcw
title: Occurrence Download

description: A dataset containing 891572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.20_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 891572 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062087-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14620248
title: US Flow Chemistry Market 2024 To 2033

description: US Flow Chemistry Market Size, Trends and Insights By Reactor (Tabular Reactor, Microreactor, Oscillatory Flow Reactor, Packed-Bed Reactors, Droplet-Based Reactor, Photochemical Reactors, Others), By Purification Method (Chromatography, Crystallization, Distillation, Liquid-Liquid Extraction, Membrane Filtration, Others), By Application (Chemical Synthesis, Pharmaceutical Synthesis, Material Science, Agrochemical Syntheis, Energy Conversion, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the US Flow Chemistry Market is expected to record a CAGR of 9.2% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 416.1 Million. By 2033, the valuation is anticipated to reach USD 1,206.2 Million.

US Flow Chemistry Market The US Flow Chemistry market refers to the conduction of chemical reactions continuously, the efficiency of which is more significant and much safer than the batch process. The market encompasses microreactors and modular systems for pharmaceuticals, specialty chemicals, and materials science.

Innovation in reactor design, automation, and digital controls is key to growth and the trend toward sustainability and efficiency in production processes. However, the primary sectors that benefit from flow chemistry are drug development, specialty chemicals, and environmental applications, demonstrating an ever-increasing role in modern chemical production and research.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=60264
DOI: 10.5281/zenodo.14620249
title: US Flow Chemistry Market 2024 To 2033

description: US Flow Chemistry Market Size, Trends and Insights By Reactor (Tabular Reactor, Microreactor, Oscillatory Flow Reactor, Packed-Bed Reactors, Droplet-Based Reactor, Photochemical Reactors, Others), By Purification Method (Chromatography, Crystallization, Distillation, Liquid-Liquid Extraction, Membrane Filtration, Others), By Application (Chemical Synthesis, Pharmaceutical Synthesis, Material Science, Agrochemical Syntheis, Energy Conversion, Others), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the US Flow Chemistry Market is expected to record a CAGR of 9.2% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 416.1 Million. By 2033, the valuation is anticipated to reach USD 1,206.2 Million.

US Flow Chemistry Market The US Flow Chemistry market refers to the conduction of chemical reactions continuously, the efficiency of which is more significant and much safer than the batch process. The market encompasses microreactors and modular systems for pharmaceuticals, specialty chemicals, and materials science.

Innovation in reactor design, automation, and digital controls is key to growth and the trend toward sustainability and efficiency in production processes. However, the primary sectors that benefit from flow chemistry are drug development, specialty chemicals, and environmental applications, demonstrating an ever-increasing role in modern chemical production and research.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=60264
DOI: 10.5281/zenodo.14620197
title: Dataset for A COVID-19 Roadmap to Promote Health Literacy Derived from the Atlas of Science Literacy

description: This is the dataset for the article: Zamalloa, Achurra, & Berreteaga; A COVID-19 Roadmap to Promote Health Literacy Derived from the Atlas of Science Literacy. The American Biology Teacher 1 August 2023; 85 (6): 305–313. doi: https://doi.org/10.1525/abt.2023.85.6.305

The table shows the ideas related to themes in Table 1 (page 307 in the article) from five strand maps from the Atlas of Science Literacy that contained elements or concepts related to COVID-19: Disease; Maintaining Good Health; Basic Functions; HealthTechnology; and Discovering Germs. These ideas are grouped by grade level, from kindergarten to 12th grade (K12). More information can be found in the article.
DOI: 10.5281/zenodo.14620198
title: Dataset for A COVID-19 Roadmap to Promote Health Literacy Derived from the Atlas of Science Literacy

description: This is the dataset for the article: Zamalloa, Achurra, & Berreteaga; A COVID-19 Roadmap to Promote Health Literacy Derived from the Atlas of Science Literacy. The American Biology Teacher 1 August 2023; 85 (6): 305–313. doi: https://doi.org/10.1525/abt.2023.85.6.305

The table shows the ideas related to themes in Table 1 (page 307 in the article) from five strand maps from the Atlas of Science Literacy that contained elements or concepts related to COVID-19: Disease; Maintaining Good Health; Basic Functions; HealthTechnology; and Discovering Germs. These ideas are grouped by grade level, from kindergarten to 12th grade (K12). More information can be found in the article.
DOI: 10.5281/zenodo.14535422
title: Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #5

description: Hyperspectral data in all of the datasets consist of processed hyperspectral data cubes to radiance values.all data cubes with _radiance.dat and ._radiance.hdr files are for ENVI format data file. While _rect.dat and _rect.hdr files are ENVI files with georectification applied.

Hyperspectral data also contain calculated RGB and NDVI png and tiff images. Png images are generated from _radiance.dat files and tiff images are generated from _rect.dat files that have georectification.

All hyperspectral data was collected using the Specim hyperspectral pushbroom camera.

 

https://art21-icaerus.s3.eu-central-1.amazonaws.com/Hyper_5.zip

Dataset consists of 9 flight lines filmed over a stated infected forest.

Each flight folder denoted by fl# contains processed hyperspectral data cubes and "processed" folder with RGB and NDVI images. 

Dataset zip size: 59.1 GB
DOI: 10.5281/zenodo.14535421
title: Multiple DJI drone flights with hyperspectral camera over forests in Lithuania #5

description: Hyperspectral data in all of the datasets consist of processed hyperspectral data cubes to radiance values.all data cubes with _radiance.dat and ._radiance.hdr files are for ENVI format data file. While _rect.dat and _rect.hdr files are ENVI files with georectification applied.

Hyperspectral data also contain calculated RGB and NDVI png and tiff images. Png images are generated from _radiance.dat files and tiff images are generated from _rect.dat files that have georectification.

All hyperspectral data was collected using the Specim hyperspectral pushbroom camera.

 

https://art21-icaerus.s3.eu-central-1.amazonaws.com/Hyper_5.zip

Dataset consists of 9 flight lines filmed over a stated infected forest.

Each flight folder denoted by fl# contains processed hyperspectral data cubes and "processed" folder with RGB and NDVI images. 

Dataset zip size: 59.1 GB
DOI: 10.5281/zenodo.10997216
title: Tryblionella alignment files
DOI: 10.5281/zenodo.10997217
title: Tryblionella alignment files
DOI: 10.5281/zenodo.13968238
title: Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution: Data Release

description: Dataset release accompanying Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution.
DOI: 10.5281/zenodo.13968239
title: Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution: Data Release

description: Dataset release accompanying Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution.
DOI: 10.5281/zenodo.14620243
title: Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution: Data Release

description: Dataset release accompanying Inferring cosmology from gravitational waves using non-parametric detector-frame mass distribution.
DOI: 10.15468/dl.736ypd
title: Occurrence Download

description: A dataset containing 13994 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mastocarpus stellatus (Stackhouse) Guiry, 1984"
 ]
}

 The dataset includes 13994 records from 192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062090-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uesnm3
title: Occurrence Download

description: A dataset containing 34435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adenophora Fisch."
 ]
}

 The dataset includes 34435 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062089-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/1430
title: Distributed Acoustic Sensing (DAS) data associated with a 6-month seismic monitoring of the Schäftlarnstraße geothermal site (Munich, Germany)

description: Data associated with Azzola J, Thiemann K, Gaucher E. Integration of Distributed Acoustic Sensing for real-time seismic monitoring of a geothermal field. Geothermal Energy – Science, Society and Technology. 2023.

- mini-seed files include data subsets for both events studied in the article: DAS strain-rate data are sampled at 500Hz and provided unfiltered, with station names defined as the depth of the measuring point in well TH3 (datum is ground level).

- python codes associated with the processing of the DAS strain-rate datasets on the Azure cloud work stations. The codes aim in particular at reading HDF5 files generated by the interrogator and transferred to the Azure data lake.

Corresponding author: Jerome Azzola, jerome.azzola@kit.edu
DOI: 10.15468/dl.zu9cue
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uncaria canescens Korth."
 ]
}

 The dataset includes 96 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062091-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebupv8
title: Occurrence Download

description: A dataset containing 184898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.31.1_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2010-2025"
 ]
}

 The dataset includes 184898 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062070-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25392/leicester.data.28150799
title: Investigating the holistic processing of characters during Chinese reading

description: This is a dataset for an eye movement experiment investigating effects of visual blurring on the recognition of Chinese characters during reading. Characters in sentences were presented as normal or with an exterior or interior region visually degraded. As the exterior region was informative about overall character shape, this manipulation allowed us to investigate effects of preserving or degrading information that might support holistic processing. Additionally, to assess effects on the lexical processing of words, each sentence included one of a pair of interchangeable two-character target words that had either a high or low frequency of written usage.The files provide sentence-level and word-level eye movement data. The sentence-level data are informative about the effects of visual blurring on overall sentence reading, while the word-level data are informative about effects of visual blurring on the processing of individual words in sentences, where these words are of either high or low lexical frequency.<br><br>
DOI: 10.25392/leicester.data.28150799.v1
title: Investigating the holistic processing of characters during Chinese reading

description: This is a dataset for an eye movement experiment investigating effects of visual blurring on the recognition of Chinese characters during reading. Characters in sentences were presented as normal or with an exterior or interior region visually degraded. As the exterior region was informative about overall character shape, this manipulation allowed us to investigate effects of preserving or degrading information that might support holistic processing. Additionally, to assess effects on the lexical processing of words, each sentence included one of a pair of interchangeable two-character target words that had either a high or low frequency of written usage.The files provide sentence-level and word-level eye movement data. The sentence-level data are informative about the effects of visual blurring on overall sentence reading, while the word-level data are informative about effects of visual blurring on the processing of individual words in sentences, where these words are of either high or low lexical frequency.<br><br>
DOI: 10.15468/dl.v6y9v4
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peristylus spiralis A.Rich."
 ]
}

 The dataset includes 47 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062094-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n4hbx4
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bosnia and Herzegovina",
 "TaxonKey is Helianthus tuberosus L."
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062095-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kb2s7
title: Occurrence Download

description: A dataset containing 2104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Occurrence evidence, Machine Observation)",
 "Geometry POLYGON((-6.04017 49.6908,12.51621 49.6908,12.51621 62.69972,-6.04017 62.69972,-6.04017 49.6908))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squalus acanthias Linnaeus, 1758",
 "Year 2000-2025"
 ]
}

 The dataset includes 2104 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062097-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/8071
title: Data from molecular mechanism investigation on new purposely designed hybrid compounds to inhibit NDH-2 enzyme of P. falciparum and S. aureus

description: A series of hybrid compounds has been designed and synthesized by linking the pharmacophore of the antimalarial drug chloroquine with the phenothiazine core. The dataset contains the free induction decay (fid) of 1H and 13C NMR spectra registered on a Bruker spectrometer working at 600 MHz and at 150 MHz of the new compounds and the optical density measurements of the microbial and cellular growths of the experimental model systems treated with the hybrid compounds.
DOI: 10.15468/dl.4ww7zp
title: Occurrence Download

description: A dataset containing 1306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "Geometry POLYGON((-6.43838 36.88039,-6.18425 36.2974,-5.55499 36.02384,-4.45377 36.65743,-4.64739 37.46856,-5.83332 37.55495,-6.43838 36.88039))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "StateProvince is Cadiz",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1306 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062099-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsddg3
title: Occurrence Download

description: A dataset containing 101651 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Bosnia and Herzegovina"
 ]
}

 The dataset includes 101651 records from 566 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062092-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67jnb4
title: Occurrence Download

description: A dataset containing 413747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Rwanda",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 413747 records from 433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062078-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.