cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12604782
title: Audio Visual in-situ Monitoring Dataset for Laser Directed Energy Deposition (LDED) of Maraging Steel C300

description: This dataset presents a set of acoustic signals and coaxial CCD images captured during a single-bead wall experiment in robotic Laser Directed Energy Deposition (LDED) using Maraging Steel C300. The acoustic data was recorded using a high-fidelity Prepolarized microphone sensor (Xiris WeldMIC), capturing the intricate sound profiles associated with the LDED process at a sampling rate of 44,100 Hz. The coaxial CCD melt pool images are captured at 30 Hz.

Laser Directed Energy Deposition:

This dataset was generated with a robotic LDED process that consists of a six-axis industrial robot (KUKA KR90) coupled with a two-axis positioner, a laser head, and a coaxial powder-feeding nozzle.

 

File Naming Convention:



Audio files within the audio_files folder are named following the pattern sample_ExperimentID_SampleID.wav. Given that there's only one experiment and one sample provided in this demo dataset, the naming will be consistent, for example, sample_1_1.wav for the first file.

Coaxial melt pool image files within the images folder are named following the pattern sample_ExperimentID_SampleID.jpg. 


Annotation Details:



The annotations_1.csv file contains detailed labels for each audio file and image file, correlating to the conditions observed during the experiment, aiding in quick identification and analysis.


Handcrafted features for ML modelling:



The audio_features.h5 file contains various physics-informed acousitc feature extracted through Python, which can be used for baseline ML modelling purpose.


Experimental Parameters: The dataset reflects a controlled experiment setup with the following specifications:



Geometry: Single bead wall structure

Dimensions: 90 mm * 42.5 mm

Number of layers: 50

Laser beam diameter: 2 mm

Layer thickness: 0.85 mm

Stand-off distance: 12 mm

Laser profile: Gaussian

Laser wavelength: 1064 nm


Process Parameters:



Laser power: 2.3 kW

Speed: 25 mm/s

Dwell time: 0 s

Powder flow rate: 12 g/min


This dataset aims to facilitate the development and testing of acoustic-based, or multi-sensor fusion-based defect detection models for real-time quality monitoring in LDED processes. It can also serve as a reference point for further research on sensor fusion, machine learning, and real-time monitoring of manufacturing processes.
DOI: 10.15156/bio/sh1084554.10fu
title: SH1084554.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1084555.10fu
title: SH1084555.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1084559.10fu
title: SH1084559.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1084561.10fu
title: SH1084561.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.t6zud6
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lygodactylus laterimaculatus Pasteur, 1964)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059107-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-4052
title: Baptist, vol. [10], no. 11-12 (June 1926)

description: [description english/roman)] Biweekly
DOI: 10.15468/dl.hyu3q9
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Momordica charantia L."
 ]
}

 The dataset includes 178 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107529-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkw46z
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asarum satsumense Maek."
 ]
}

 The dataset includes 37 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059137-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xde9ma
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protomelas taeniolatus (Trewavas, 1935)"
 ]
}

 The dataset includes 58 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0339032-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtkkrj
title: Occurrence Download

description: A dataset containing 62413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos L.f., Cabomba caroliniana A.Gray, Cherax destructor Clark, 1936, Crassula helmsii (Kirk) Cockayne, Egeria densa Planch., Erythranthe guttata (DC.) G.L.Nesom, Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Faxonius virilis (Hagen, 1870), Heracleum mantegazzianum Sommier & Levier, Heracleum persicum Desf., Heracleum sosnowskyi Manden., Houttuynia cordata Thunb., Hydrocotyle ranunculoides L.f., Impatiens glandulifera Royle, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Lagarosiphon major (Ridl.) Moss, Ludwigia grandiflora (Michx.) Greuter & Burdet, Ludwigia peploides (Kunth) P.H.Raven, Lysichiton americanus Hultén & H.St.John, Myriophyllum aquaticum (Vell.) Verdc., Myriophyllum heterophyllum Michx., Petasites japonicus (Siebold & Zucc.) Maxim., Pontederia cordata L., Procambarus acutus (Girard, 1852), Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Saururus cernuus L., Zizania latifolia (Griseb.) Stapf)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 62413 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059032-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9hns67
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dendrophryniscus stawiarskyi Izecksohn, 1994)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059077-230224095556074/datasets/export for details.
DOI: 10.15468/dl.cqvbqd
title: Occurrence Download

description: A dataset containing 239326 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Machine Observation"
 ]
 },
 {
 "or" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is United States of America",
 "Country is Canada",
 "Country is Ireland",
 "Country is South Africa",
 "Country is Italy"
 ]
 },
 "TaxonKey is Sciurus carolinensis Gmelin, 1788",
 "Year 2000-2022"
 ]
}

 The dataset includes 239326 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0343452-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjgwg7
title: Occurrence Download

description: A dataset containing 397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Abies pinsapo Boiss."
 ]
}

 The dataset includes 397 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0107534-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.za6uys
title: Occurrence Download

description: A dataset containing 161 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudoeurycea melanomolga (Taylor, 1941))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 161 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059050-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbuzcy
title: Occurrence Download

description: A dataset containing 151297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Continent is Europe",
 "Year is greater than 1978",
 "Year is less than 2014",
 "HasGeospatialIssue is false",
 "TaxonKey is Lamium album L."
 ]
}

 The dataset includes 151297 records from 721 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059070-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yf5xh7
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trechispora alnicola (Bourdot & Galzin) Liberta)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 88 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0255063-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnj3sr
title: Occurrence Download

description: A dataset containing 133270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setaria viridis (L.) P.Beauv."
 ]
}

 The dataset includes 133270 records from 1141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011087-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/4rk4-mmpx
title: Measurement of Aerosol light scattering at Pallas (Sammaltunturi)

description: Measurement of Aerosol light scattering at Pallas (Sammaltunturi)
DOI: 10.15468/dl.bxazfd
title: Occurrence Download

description: A dataset containing 4413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sepedophilus littoreus (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4413 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004568-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15011113
title: DLC Visual Dataset

description: This dataset contains qualitative data from university students in the Valencian Community.
DOI: 10.5281/zenodo.15011114
title: DLC Visual Dataset

description: This dataset contains qualitative data from university students in the Valencian Community.
DOI: 10.6084/m9.figshare.28517345
title: Supplementary File 3

description: Supplementary File 3. Individual phylogenomic analyses with different settings.
DOI: 10.5281/zenodo.4637109
title: MetaTREE_glut dataset

description: Background: Data accuracy plays a key role in determining the model performances and the field of metabolism prediction suffers from the lack of truly reliable data. To enhance the accuracy of metabolic data, we recently proposed a manually curated database collected by a meta-analysis of the specialized literature (MetaQSAR). Here we aim to further increase data accuracy by focusing on publications reporting exhaustive metabolic trees. This selection should indeed reduce the number of false negative data. 


 Methods: a new metabolic database (MetaTREE) was thus collected and utilized to extract a dataset for metabolic data concerning glutathione conjugation (MT-dataset). After proper pre-processing, this dataset, along with the corresponding dataset extracted from MetaQSAR (MQ-dataset), was utilized to develop binary classification models using random forest algorithm.


Results: the comparison of the models generated by the two collected datasets reveals the better performances reached by the MT-dataset (MCC raises from 0.63 to 0.67, sensitivity from 0.56 to 0.58). The analysis of the applicability domain also confirms that the model based on the MT-dataset shows a more robust predictive power with a larger applicability domain. 


 Conclusions: these results confirm that focusing on metabolic trees represents a convenient approach to increase data accuracy by reducing the false negative cases. The encouraging performances shown by the models developed by the MT-dataset invites to use MetaTREE for predictive studies in the field of xenobiotic metabolism.
DOI: 10.5281/zenodo.4637110
title: MetaTREE_glut dataset

description: Background: Data accuracy plays a key role in determining the model performances and the field of metabolism prediction suffers from the lack of truly reliable data. To enhance the accuracy of metabolic data, we recently proposed a manually curated database collected by a meta-analysis of the specialized literature (MetaQSAR). Here we aim to further increase data accuracy by focusing on publications reporting exhaustive metabolic trees. This selection should indeed reduce the number of false negative data. 


 Methods: a new metabolic database (MetaTREE) was thus collected and utilized to extract a dataset for metabolic data concerning glutathione conjugation (MT-dataset). After proper pre-processing, this dataset, along with the corresponding dataset extracted from MetaQSAR (MQ-dataset), was utilized to develop binary classification models using random forest algorithm.


Results: the comparison of the models generated by the two collected datasets reveals the better performances reached by the MT-dataset (MCC raises from 0.63 to 0.67, sensitivity from 0.56 to 0.58). The analysis of the applicability domain also confirms that the model based on the MT-dataset shows a more robust predictive power with a larger applicability domain. 


 Conclusions: these results confirm that focusing on metabolic trees represents a convenient approach to increase data accuracy by reducing the false negative cases. The encouraging performances shown by the models developed by the MT-dataset invites to use MetaTREE for predictive studies in the field of xenobiotic metabolism.
DOI: 10.15468/dl.atrsdn
title: Occurrence Download

description: A dataset containing 5297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((9.56456 44.96208,9.81215 44.96208,9.81215 45.15976,9.56456 45.15976,9.56456 44.96208))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5297 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004572-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wxtyf
title: Occurrence Download

description: A dataset containing 3452 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Toxicodendron succedaneum (L.) Kuntze)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3452 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004575-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nndtve
title: Occurrence Download

description: A dataset containing 958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thalictrum minus subsp. minus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 958 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004577-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wz42as
title: Occurrence Download

description: A dataset containing 172060 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Motacilla cinerea Tunstall, 1771"
 ]
}

 The dataset includes 172060 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004547-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhemyu
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((59.63992 56.82433,59.64503 56.82433,59.64503 56.82944,59.63992 56.82944,59.63992 56.82433))",
 "Geometry POLYGON((59.62938 56.8207,59.65152 56.8207,59.65152 56.83141,59.62938 56.83141,59.62938 56.8207))",
 "Geometry POLYGON((59.62724 56.82072,59.65254 56.82077,59.65234 56.83748,59.62942 56.83288,59.62724 56.82072))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Dactylorhiza fuchsii (Druce) Soó, Neottia nidus-avis (L.) Rich., Lilium martagon var. pilosiusculum Freyn)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004576-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.