cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12685820
title: Cadenza Challenge (CAD2): databases for lyric intelligibility task

description: A new version has been published.

Please ensure you are working with the last version.


 

Cadenza

This is the training and validation data for the lyric intelligibility task from the Second Cadenza Machine Learning Challenge (CAD2).

The Cadenza Challenges are improving music production and processing for people with a hearing loss. According to The World Health Organization, 430 million people worldwide have a disabling hearing loss. Studies show that not being able to understand lyrics is an important problem to tackle for those with hearing loss. Consequently, this task is about improving the intelligibility of lyrics when listening to pop/rock over headphones. But this needs to be done without losing too much audio quality - you can't improve intelligibility just by turning off the rest of the band! We will be using one metric for intelligibility and another metric for audio quality, and giving you different targets to explore the balance between these metrics.

Please see the Cadenza website for a full description of the data
description: To run the challenge baseline, unpacked the data using



tar -xvzf <PACKAGE_NAME>


This dataset is used by the CAD2 Task 1 baseline.
DOI: 10.5281/zenodo.14288988
title: Cadenza Challenge (CAD2): databases for lyric intelligibility task

description: Cadenza



A new version has been published.

Please ensure you are working with the last version.

 


This is the training and validation data for the lyric intelligibility task from the Second Cadenza Machine Learning Challenge (CAD2).

The Cadenza Challenges are improving music production and processing for people with a hearing loss. According to The World Health Organization, 430 million people worldwide have a disabling hearing loss. Studies show that not being able to understand lyrics is an important problem to tackle for those with hearing loss. Consequently, this task is about improving the intelligibility of lyrics when listening to pop/rock over headphones. But this needs to be done without losing too much audio quality - you can't improve intelligibility just by turning off the rest of the band! We will be using one metric for intelligibility and another metric for audio quality, and giving you different targets to explore the balance between these metrics.

Please see the Cadenza website for a full description of the data
description: To run the challenge baseline, unpacked the data using



tar -xvzf <PACKAGE_NAME>


This dataset is used by the CAD2 Task 1 baseline.  
description: Release Notes

Version V 1.1.0

This update includes all files from V 1.1.0 plus the cadenza_cad2_task1_eval.v1_0.tar.gz package, which corresponds to the evaluation data to be processed by the challenge participants.
DOI: 10.5281/zenodo.14333454
title: Cadenza Challenge (CAD2): databases for lyric intelligibility task

description: Cadenza

This is the training and validation data for the lyric intelligibility task from the Second Cadenza Machine Learning Challenge (CAD2).

The Cadenza Challenges are improving music production and processing for people with a hearing loss. According to The World Health Organization, 430 million people worldwide have a disabling hearing loss. Studies show that not being able to understand lyrics is an important problem to tackle for those with hearing loss. Consequently, this task is about improving the intelligibility of lyrics when listening to pop/rock over headphones. But this needs to be done without losing too much audio quality - you can't improve intelligibility just by turning off the rest of the band! We will be using one metric for intelligibility and another metric for audio quality, and giving you different targets to explore the balance between these metrics.

Please see the Cadenza website for a full description of the data
description: To run the challenge baseline, unpacked the data using



tar -xvzf <PACKAGE_NAME>


This dataset is used by the CAD2 Task 1 baseline.  
description: Release Notes

Version V 1.1.1

This updates replace the file evaluation file cadenza_cad2_task1_eval.v1_0.tar.gz by cadenza_cad2_task1_eval.v1_1.tar.gz. The new evaluation file corrects the path to the evaluation audio signals.

Please not this is just a path modification and that the audio files and metadata files remain unchanged.

Version V 1.1.0

This update includes all files from V 1.0.0 plus the cadenza_cad2_task1_eval.v1_0.tar.gz package, which corresponds to the evaluation data to be processed by the challenge participants.
DOI: 10.14469/hpc/4149
title: Racemate of (3aR,4S,9bR)-4-(p-tolyl)-2,3,3a,4,5,9b-hexahydrofuro[3,2-c]quinoline

description: To an NMR tube was added ortho-aminobenzaldehye (7.7 mg, 0.06 mmol, 1 equiv) and homoallylic alcohol (14.6 mg, 0.09 mmol, 1.5 equiv). In a separate vial was weighed CSA (13.8 mg, 0.06 mmol, 1 equiv) which was dissolved in HFIP and CDCl3. This was then transferred to the NMR tube to yield a red solution. The reaction was monitored by NMR analysis and quenched after six hours by addition of sat. NaHCO3. The organic layer was extracted with DCM, dried over anhydrous Na2SO4 and concentrated under a stream of N2. The product was isolated by flash column chromatography 25% diethyl ether/petroleum ether.
DOI: 10.14469/hpc/4151
title: (E)-4-(4-(tert-butyl)phenyl)but-3-en-1-ol

description: Following the general procedure of synthesis of homoallylic alchols via Wittig olefination
DOI: 10.14469/hpc/4175
title: FAIR Table. Calculated transition state properties, B3LYP+GD3BJ/Def2-TZVPP/SCRF=ethanol

description: FAIR data table: Reversibility and reactivity in an acid catalyzed cyclocondensation to give furanochromanes â A reaction at the âoxonium-Prinsâ vs. âortho-quinone methide cycloadditionâ mechanistic nexus
DOI: 10.5281/zenodo.13599328
title: Water sampling data from Outokumpu area 2024

description: Abstract

Report on the water sampling campaign performed in Outokumpu during summer 2024

This depositry contains data generated within the European S34 project. 

Metadata Information






Identification





Full Title



Water analysis Outokumpu 2024





Abstract



Report on the water sampling campaign performed in Outokumpu during summer 2024





Keywords



AMD, water analysis





Pilot area



Keretti-Outokumpu





Associated resources



/





Language



English





URL



/





Categories



Other





Temporal reference





Creation date (dd.mm.yyyy)



28.08.2024





Revision date (dd.mm.yyyy)



28.08.2024





Quality and validity





Representation type



Other





Format



PDF





Lineage



/





Spatial resolution



0,20m





Positional accuracy



0,1





Maintenance information



/





Coordinate system



EPSG 32635





Constranits related to access and use





Use limitation



None- refer to GTK as source of information





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Nike Luodes (nike.luodes@gtk.fi)





Responsible Party



GTK





Metadata on metadata





Contact



Nike Luodes (nike.luodes@gtk.fi)





Metadata language



English
DOI: 10.5281/zenodo.13599329
title: Water sampling data from Outokumpu area 2024

description: Abstract

Report on the water sampling campaign performed in Outokumpu during summer 2024

This depositry contains data generated within the European S34 project. 

Metadata Information






Identification





Full Title



Water analysis Outokumpu 2024





Abstract



Report on the water sampling campaign performed in Outokumpu during summer 2024





Keywords



AMD, water analysis





Pilot area



Keretti-Outokumpu





Associated resources



/





Language



English





URL



/





Categories



Other





Temporal reference





Creation date (dd.mm.yyyy)



28.08.2024





Revision date (dd.mm.yyyy)



28.08.2024





Quality and validity





Representation type



Other





Format



PDF





Lineage



/





Spatial resolution



0,20m





Positional accuracy



0,1





Maintenance information



/





Coordinate system



EPSG 32635





Constranits related to access and use





Use limitation



None- refer to GTK as source of information





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Nike Luodes (nike.luodes@gtk.fi)





Responsible Party



GTK





Metadata on metadata





Contact



Nike Luodes (nike.luodes@gtk.fi)





Metadata language



English
DOI: 10.5281/zenodo.13622458
title: Gummern - Mining Waste Deposits Multispectral UAV Imagery

description: Abstract

Mining Waste Deposits Multispectral UAV Imagery from DJI Mavic 3M

This depositry contains data generated within the European S34 project.

Metadata Information






Identification





Full Title



Mining Waste Deposits Multispectral UAV Imagery





Abstract



Mining Waste Deposits Multispectral UAV Imagery from DJI Mavic 3M





Keywords



Multispectral, Mining Waste Deposits, UAV, Drone





Pilot area



Gummern





Associated resources



/





Language



English





URL



/





Categories



UAV





Temporal reference





Creation date (dd.mm.yyyy)



06.09.2023





Revision date (dd.mm.yyyy)



06.09.2023





Quality and validity





Representation type



Other





Fromat



Other





Lineage



/





Spatial resolution



0.05m





Positional accuracy



0.25m





Maintenance information



/





Coordinate system



EPSG 4326





Constranits related to access and use





Use limitation



/





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Enoc Sanz Ablanedo (esana@unileon.es)





Responsible Party



UNILEON





Metadata on metadata





Contact



Enoc Sanz Ablanedo (esana@unileon.es)





Metadata language



English
DOI: 10.5281/zenodo.13622459
title: Gummern - Mining Waste Deposits Multispectral UAV Imagery

description: Abstract

Mining Waste Deposits Multispectral UAV Imagery from DJI Mavic 3M

This depositry contains data generated within the European S34 project.

Metadata Information






Identification





Full Title



Mining Waste Deposits Multispectral UAV Imagery





Abstract



Mining Waste Deposits Multispectral UAV Imagery from DJI Mavic 3M





Keywords



Multispectral, Mining Waste Deposits, UAV, Drone





Pilot area



Gummern





Associated resources



/





Language



English





URL



/





Categories



UAV





Temporal reference





Creation date (dd.mm.yyyy)



06.09.2023





Revision date (dd.mm.yyyy)



06.09.2023





Quality and validity





Representation type



Other





Fromat



Other





Lineage



/





Spatial resolution



0.05m





Positional accuracy



0.25m





Maintenance information



/





Coordinate system



EPSG 4326





Constranits related to access and use





Use limitation



/





Access constraint



/





Public/Private



Public





Responsible organisation





Responsible Contact



Enoc Sanz Ablanedo (esana@unileon.es)





Responsible Party



UNILEON





Metadata on metadata





Contact



Enoc Sanz Ablanedo (esana@unileon.es)





Metadata language



English
DOI: 10.15468/dl.2kueea
title: Occurrence Download

description: A dataset containing 68345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nezara viridula (Linnaeus, 1758))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 68345 records from 517 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011835-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/4ka6-a134
title: Parkes observations for project P1321 semester 2024OCTS_06

description: We propose to search for temporal variations in HI absorption spectra seen against background pulsars to characterise Tiny Scale Atomic Structure (TSAS) in the Milky Way interstellar medium (ISM). We will re-observe seven previously studied bright pulsars at two observing epochs in this semester, resulting in minimum and maximum experimental baselines of 0.25 and 50 years. These observations will test predictions that there is a minimum size scale set by the thermal and turbulent properties of the ISM, below which TSAS is only sporadically seen, and will potentially provide the first direct measurements of pressures in "large" TSAS features of &gt; 1000 AU. By using a new phase-resolved spectral line mode that we have recently implemented on Parkes, we will cut data rates and processing times by factors of ~1000. This project successfully observed in 2024APR and will be expanded to a Long Term Project when that scheme reopens for applications in 2025APR. Successful demonstration of our techniques will lay the groundwork for future programmes on the SKA.
DOI: 10.15468/dl.kbuehz
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium polyrhizum Turcz. ex Regel"
 ]
}

 The dataset includes 241 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011868-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.28595471
title: Macadamia genomic resources for South Africa

description: The genetic diversity and population structure of South African macadamia cultivars present in South Africa was analysed using a panel of 13 microsatellite markers from literature. The population consisted of a total of 110 cultivars that were selected for in South Africa, Australia, Hawaii, California and Israel, as well as a private breeding population from a local farmer. GeneALex, Principal component analysis, Population Structure and Neighbour-Joining phylogenetic tree was used to analysis the data results.Whole genome sequencing, assembly and and annotation was performed for three different cultivars of importance to South Africa, which included Santa Anna (<i>Macadamia tetraphylla</i>), HAES 695/Beaumont (<i>M. interifolia </i>x <i>M. tetraphylla</i>) and HAES 791 (<i>M. interifolia </i>x <i>M. tetraphylla </i>x <i>M. ternifolia</i>). We produced between 80x and 120x coverage long-read sequencing data on the Oxford Nanopore Technologies (ONT), and combined this with between 60x and 120x coverage of the short-read sequencing data from the Illumina Platform. The genomes were assembled with the Shasta, Flye, Masurca and Necat assemblers, however Necat produced the best consensus assemblies. The Necat consensus was further polished and error corrected with three rounds of Racon and one round of Pilon analysis. The final polished Necat assemblies were then purged of redundant sequences to produces haploid assemblies for all three genomes. The quality of the genomes were analysed using the BUSCO and Quast pipelines. Genome annotation was performed using the BRAKER3 pipeline. The input data for BRAKER3 included the repeatmasked genome assemblies (done using RepeatModeler and RepeatMasker), the merged .bam files (from mapping the RNA-Seq data to the masked genome assemblies), and the OrthoDB v11 Viridiplantae protein database. The TSEBRA pipeline was used to combine the most robust gene sets with the best BUSCO completeness scores.Fatty acid biosynthesis genes were analysed to try to determine the underlying mechanisms for the unique oil profile of macadamia nuts. Four gene families were analysed, which included fatty acid desaturase type I (FAD), fatty acid desaturase type II (SAD), beta-ketoacyl-ACP synthases (KAS), and acyl-ACP thioesterase (FAT), which play key roles in unsaturated fatty acid biosynthesis. OrthoFinder and OrthoVenn were used for the analysis, and the genes we annotated were compared to other tree nut and oil producing crop species. other species included walnut (<i>Juglans regia</i>), pistachio (<i>Pistacia vera</i>), almond (<i>Prunus dulcis</i>), hazelnut (<i>Corylus avellana</i>), sunflower (<i>Helianthus annus</i>), olive (<i>Olea europaea</i>), and cocoa (<i>Theobroma cacao</i>) species. The results were analysed using ClustalW alignments and RaXML-ng and viewed using phylogenetic trees and drawn on the iTOL online platform.
DOI: 10.15468/dl.5gdhza
title: Occurrence Download

description: A dataset containing 2150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zamenis longissimus (Laurenti, 1768)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 2150 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011871-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k4v2x9
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aphidius ervi Haliday, 1834)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 155 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011870-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbb2p8
title: Occurrence Download

description: A dataset containing 47595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vespula vulgaris (Linnaeus, 1758))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47595 records from 451 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011869-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtm2u3
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Braula coeca Nitzsch, 1818",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 58 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011872-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6p6nrn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ablerus clisiocampae (Ashmead, 1894))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011873-250310093411724/datasets/export for details.
DOI: 10.6084/m9.figshare.28605908
title: Supplementary Material for: Effectiveness of Hormonal Therapy for Post-Menopausal Women with Hormone Receptor-Positive Advanced Breast Cancer: A Systematic Review and Meta-Analysis of Clinical Trials

description: Objective: Breast cancer (BC) cells exhibit mutations over time, conferring resistance to therapeutic approaches. We attempted to ascertain the efficacy of selected hormonal therapy for advanced BC. Methods: This is a systematic review and meta-analysis of clinical trials. We searched Medline, PubMed, Cochrane Library, Web of Science and others. Studies that investigated the effectiveness of hormonal therapy for HR+ advanced BC were included. The outcomes were progression-free survival (PFS), overall survival (OS) and objective response rate (ORR). A random-effect meta-analysis model was employed. The study protocol was registered with the International Prospective Register of Systematic Reviews: CRD42023431939. Results: 21 studies were included in the meta-analysis with an overall sample size of 8482. ORR and PFS between aromatase inhibitors (AI) and other hormonal therapies: selective estrogen receptor degrader (SERD), selective estrogen modulator (SERM) and androgen inhibitors showed no significant difference [OR = 1.122 (0.917-1.374), p = 0.263]; [OR = 0.010 (0.000-1.292), p = 0.063], respectively. Sub-group analysis showed a statistically significant difference in ORR in favour of patients who received SERM compared to AI [OR = 1.362 (1.033-1.795), p = 0.028]. For OS, no significant difference was observed among anastrozole, letrozole and exemestane recepients [OR = 1.718 (0.021-139.128), p = 0.809]. Conclusion: Given the above findings, clinical decisions could be based on factors such as the line of cancer treatment, adverse events, drug dosing, and individual drug benefits. Although newer combination therapies are being adopted, the agents explored in this review are still widely used in clinical practice for HR+ BC.
DOI: 10.6084/m9.figshare.28605911
title: Supplementary Material for: Automated Identification of Stroke Thrombolysis Contraindications from Synthetic Clinical Notes – a Proof-of-Concept Study

description: Background: Timely thrombolytic therapy improves outcomes in acute ischemic stroke. Manual chart review to screen for thrombolysis contraindications may be time-consuming and prone to errors. We developed and tested a large language model (LLM)-based tool to identify thrombolysis contraindications from clinical notes using synthetic data in a proof-of-concept study. 

Methods: We generated 150 synthetic clinical notes containing randomly assigned thrombolysis contraindications using LLMs. We then used Llama 3.1 405B with a custom prompt to generate a list of thrombolysis contraindications from each note. Performance was evaluated using sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and F1 score. 

Results: A total of 150 synthetic notes were generated using five different models: ChatGPT-4o, Llama 3.1 405B, Llama 3.1 70B, ChatGPT-4o mini, and Gemini 1.5 Flash. On average, each note contained 241.6 words (SD 110.7; range 80-549) and included 1.5 contraindications (SD 1.1; range 0-5). Our tool achieved a sensitivity of 90.9% (95% CI: 86.3%-94.3%), specificity of 99.2% (95% CI: 98.8%-99.5%), PPV of 87.7% (95% CI: 82.7%-91.7%), NPV of 99.4% (95% CI: 99.1%-99.6%), accuracy of 98.7% (95% CI: 98.2%-99.0%), and an F1 score of 0.892. Among the false positives, 24 (86%) were due to the inclusion of irrelevant contraindications, and 4 (14%) resulted from repetitive information. No hallucinations were observed. 

Conclusion: Our LLM-based tool may identify stroke thrombolysis contraindications from synthetic clinical notes with high sensitivity and PPV. Future studies will validate its performance using real EMR data and integrate it into acute stroke workflows to facilitate faster and safer thrombolysis decision-making.
DOI: 10.15468/dl.w49jku
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platyceps najadum (Eichwald, 1831)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 57 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011874-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.