cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14043179
title: HybridCAD: A Comprehensive Dataset for Hybrid Additive-Subtractive Manufacturing Feature Recognition in B-Rep CAD Models

description: The HybridCAD dataset is a novel resource tailored for hybrid additive-subtractive feature recognition in Computer-Aided Design (CAD) models, uniquely combining features from both manufacturing processes. Building on the MFCAD and MFCAD++ datasets, HybridCAD introduces additive manufacturing features alongside traditional subtractive ones, enabling the exploration and development of machine learning models for more complex, hybrid manufacturing applications. This dataset is especially suited for automatic feature recognition (AFR) research and model training in hybrid manufacturing contexts.

Dataset Composition

The dataset consists of 8,938 Boundary Representation (B-Rep) CAD models distributed into three main directories:





STEP Files:



Contains CAD models in STEP format, each representing a distinct part with hybrid manufacturing features.

Generated using PythonOCC CAD software, these CAD files serve as the foundation for feature recognition tasks.





Feature Labels:



File: feature_labels.txt

Provides unique label IDs for each B-Rep face in every CAD model, denoting the manufacturing feature name it belongs to.

Each CAD model face is labelled according to one of 29 hybrid additive-subtractive features, allowing for accurate and detailed feature recognition.




 





Hierarchical B-Rep Graphs:



Stored in HDF5 format for structured access to B-Rep data.

Detailed structural information is available in h5_structure.txt, explaining the hierarchical arrangement of B-Rep graphs.




Dataset Splits

The dataset is split into training, validation, and testing sets as follows:



Training Set: 6,256 samples (70%)

Validation Set: 1,342 samples (15%)

Testing Set: 1,340 samples (15%)


Hybrid Manufacturing Features

HybridCAD includes a diverse range of additive and subtractive manufacturing features, expanding beyond the subtractive-only features of MFCAD++. This inclusion enables the exploration of hybrid manufacturing processes and the recognition of a broader feature set in CAD models. The complete feature list includes:

Label    Feature0    Chamfer1    Through hole2    Triangular passage3    Rectangular passage4    6-sided passage5    Triangular through slot6    Rectangular through slot7    Circular through slot8    Rectangular through step9    2-sided through step10    Slanted through step11    O-ring12    Blind hole13    Triangular pocket14    Rectangular pocket15    6-sided pocket16    Circular end pocket17    Rectangular blind slot18    Vertical circular end blind slot19    Horizontal circular end blind slot20    Triangular blind step21    Circular blind step22    Rectangular blind step23    Round24    Extrude cylinder25    Extrude rectangle26    Extrude triangle27     Extrude hexagon28     Extrude pentagon29      Stock
DOI: 10.5281/zenodo.15584640
title: Putative "dispersal adaptations" do not explain the colonisation of a volcanic island by vascular plants, but birds can - a dataset

description: This dataset and accompanying code archive  the analyses presented in the paper: Putative “dispersal adaptations” do not explain the colonisation of a volcanic island by vascular plants, but birds can. The collection includes raw data, metadata, and R scripts used for calculating and visualizing key metrics related to plant colonisation on Surtsey Island, Iceland.
DOI: 10.5281/zenodo.15613903
title: Putative "dispersal adaptations" do not explain the colonisation of a volcanic island by vascular plants, but birds can - a dataset

description: This dataset and accompanying code archive  the analyses presented in the paper: Putative “dispersal adaptations” do not explain the colonisation of a volcanic island by vascular plants, but birds can. The collection includes raw data, metadata, and R scripts used for calculating and visualizing key metrics related to plant colonisation on Surtsey Island, Iceland.
DOI: 10.5281/zenodo.14043151
title: HybridCAD++: Expanded Dataset for Hybrid Additive-Subtractive Manufacturing Feature Recognition in B-Rep CAD Models

description: The HybridCAD++ dataset is a significantly expanded version of the HybridCAD dataset, offering a larger volume of CAD models and a more comprehensive set of hybrid additive-subtractive manufacturing features. This dataset includes additional feature classes, bringing the total to 36, and contains over 161,000 samples—making it a unique and robust resource for machine learning applications in hybrid manufacturing feature recognition.

Key Differences from HybridCAD



Increased Dataset Volume: HybridCAD++ features a total of 161,441 CAD models, significantly larger than the original HybridCAD dataset.

Expanded Feature Classes: This dataset includes 36 feature labels, with newly added classes. This increase in feature variety enhances the dataset's applicability to complex hybrid manufacturing scenarios.


Dataset Composition

The dataset includes three primary components:





STEP Files:



Each CAD model is stored in STEP format and includes labeled B-Rep faces for hybrid manufacturing feature recognition.

The CAD models were generated programmatically using PythonOCC, ensuring consistent quality and scalability.





Feature Labels:



File: feature_labels.txt

Contains label IDs for each hybrid additive-subtractive feature across B-Rep faces in each CAD model.

With 36 unique feature classes, this file allows precise mapping of CAD model faces to specific hybrid features.




 





Hierarchical B-Rep Graphs:



Stored in HDF5 format, these graphs provide structured access to B-Rep data, as detailed in h5_structure.txt.




Dataset Splits

The dataset is divided into three subsets, structured for effective model training and evaluation:



Training Set: 113,008 samples (70%)

Validation Set: 32,288 samples (20%)

Testing Set: 16,145 samples (10%)


Full Feature Label List

This comprehensive list includes both subtractive and additive manufacturing features, with added classes for more intricate hybrid manufacturing applications:

 

Label    Feature0    Chamfer1    Through hole2    Triangular passage3    Rectangular passage4    6-sided passage5    Triangular through slot6    Rectangular through slot7    Circular through slot8    Rectangular through step9    2-sided through step10    Slanted through step11    O-ring12    Blind hole13    Triangular pocket14    Rectangular pocket15    6-sided pocket16    Circular end pocket17    Rectangular blind slot18    Vertical circular end blind slot19    Horizontal circular end blind slot20    Triangular blind step21    Circular blind step22    Rectangular blind step23    Round24    Extrude cylinder25    Extrude rectangle26    Extrude triangle27     Extrude hexagon28     Extrude pentagon29      Elliptical/Oval blind hole30      Elliptical/Oval through hole31      Slot hole32      Obround boss33      5-sided passage34      5-sided pocket35      Cylinder with hole36      Stock
DOI: 10.5281/zenodo.14043152
title: HybridCAD++: Expanded Dataset for Hybrid Additive-Subtractive Manufacturing Feature Recognition in B-Rep CAD Models

description: The HybridCAD++ dataset is a significantly expanded version of the HybridCAD dataset, offering a larger volume of CAD models and a more comprehensive set of hybrid additive-subtractive manufacturing features. This dataset includes additional feature classes, bringing the total to 36, and contains over 161,000 samples—making it a unique and robust resource for machine learning applications in hybrid manufacturing feature recognition.

Key Differences from HybridCAD



Increased Dataset Volume: HybridCAD++ features a total of 161,441 CAD models, significantly larger than the original HybridCAD dataset.

Expanded Feature Classes: This dataset includes 36 feature labels, with newly added classes. This increase in feature variety enhances the dataset's applicability to complex hybrid manufacturing scenarios.


Dataset Composition

The dataset includes three primary components:





STEP Files:



Each CAD model is stored in STEP format and includes labeled B-Rep faces for hybrid manufacturing feature recognition.

The CAD models were generated programmatically using PythonOCC, ensuring consistent quality and scalability.





Feature Labels:



File: feature_labels.txt

Contains label IDs for each hybrid additive-subtractive feature across B-Rep faces in each CAD model.

With 36 unique feature classes, this file allows precise mapping of CAD model faces to specific hybrid features.




 





Hierarchical B-Rep Graphs:



Stored in HDF5 format, these graphs provide structured access to B-Rep data, as detailed in h5_structure.txt.




Dataset Splits

The dataset is divided into three subsets, structured for effective model training and evaluation:



Training Set: 113,008 samples (70%)

Validation Set: 32,288 samples (20%)

Testing Set: 16,145 samples (10%)


Full Feature Label List

This comprehensive list includes both subtractive and additive manufacturing features, with added classes for more intricate hybrid manufacturing applications:

 

Label    Feature0    Chamfer1    Through hole2    Triangular passage3    Rectangular passage4    6-sided passage5    Triangular through slot6    Rectangular through slot7    Circular through slot8    Rectangular through step9    2-sided through step10    Slanted through step11    O-ring12    Blind hole13    Triangular pocket14    Rectangular pocket15    6-sided pocket16    Circular end pocket17    Rectangular blind slot18    Vertical circular end blind slot19    Horizontal circular end blind slot20    Triangular blind step21    Circular blind step22    Rectangular blind step23    Round24    Extrude cylinder25    Extrude rectangle26    Extrude triangle27     Extrude hexagon28     Extrude pentagon29      Elliptical/Oval blind hole30      Elliptical/Oval through hole31      Slot hole32      Obround boss33      5-sided passage34      5-sided pocket35      Cylinder with hole36      Stock
DOI: 10.15468/dl.xg7apu
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Nepal, Bhutan, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Oriens concinna (Elwes & Edwards, 1897)"
 ]
}

 The dataset includes 32 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026891-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15613900
title: changshigaitimu
DOI: 10.5281/zenodo.15613898
title: changshigaitimu
DOI: 10.5281/zenodo.10208371
title: Acoustic Monitoring Dataset for Robotic Laser Directed Energy Deposition (LDED) of Maraging Steel C300

description: This dataset presents a set of acoustic signals 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.
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.
 
Folder Structure:

/sample-1: The main folder for the experiment sample.

/audio_files: Contains 4624 .wav audio files, each representing a 40 ms chunk of the LDED process sound.
/annotations_1.csv: A CSV file providing annotations for the audio files, labeling each as "Defect-free", "Defective", or "Laser-off".
audio_features.h5: extracted acoustic features in time-domain, frequency-domain, and time-frequency representations (MFCC features). Feature extraction was conducted using Python Essentia Library.
 
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, the naming will be consistent, for example, sample_1_1.wav for the first file.
Annotation Details:

The annotations_1.csv file contains detailed labels for each audio file, correlating to the conditions observed during the experiment, aiding in quick identification and analysis.
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 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: 10.5281/zenodo.10208372
title: Acoustic Monitoring Dataset for Robotic Laser Directed Energy Deposition (LDED) of Maraging Steel C300

description: This dataset presents a set of acoustic signals 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.
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.
 
Folder Structure:

/sample-1: The main folder for the experiment sample.

/audio_files: Contains 4624 .wav audio files, each representing a 40 ms chunk of the LDED process sound.
/annotations_1.csv: A CSV file providing annotations for the audio files, labeling each as "Defect-free", "Defective", or "Laser-off".
audio_features.h5: extracted acoustic features in time-domain, frequency-domain, and time-frequency representations (MFCC features). Feature extraction was conducted using Python Essentia Library.
 
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, the naming will be consistent, for example, sample_1_1.wav for the first file.
Annotation Details:

The annotations_1.csv file contains detailed labels for each audio file, correlating to the conditions observed during the experiment, aiding in quick identification and analysis.
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 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: 10.25592/uhhfdm.11863
title: An Interview About The History of Wuli (NCAC_RDD_TAPE_0080A_B)

description: <strong>A and B no audio available; B no data available</strong>

Side A


 Early settlers in Wuli 
 The significance of Tiramakang Trawore in the migration of Waali clan to the West
 The first Waali ruler: Mbari Kajo
 Jatari Bukari Waali's reign 
 War with Futa Toro 
 Jaata's princes of Tiabu settle in in Wuli 
 Wars with Katabutim Tombule and the Saane clan


Side B


 Jalali's death 
 Kope Wali usurps rulership from his elder brother by trichery
 Civil war among Jalali's sons
 The towns of various Waali branches in Wuli 
 Kope overcomes
 Kope Waali's reign 
 Mansa Nyaana Mamadi's reign 
 Seex Mamadu Lamin Darame's wars against the Waali clan
 Capital moves to Sine
 Nyana Mamadi and Finda Mamadi and Yakasara 
 The Singate clan of Neteboulou and their role in the war against Wuli 
 The battle between Sine and Wuli 
 The marabout's flight and death at the hands of the French


<em><sup>Alternative names: Susso, Suso, Manekeba, Sidibeh, </sup></em> <em><sup>Bakary, Bakari, Bakery, Kebba, Wali, Wally, Koppe, Sanneh, Sane, Traore, Momodou ,Traoreh, Traore, Drammeh, Dramme, Drame, Sheik, Shaik, Jatta, Nyana</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.25592/uhhfdm.11862
title: An Interview About The History of Wuli (NCAC_RDD_TAPE_0080A_B)

description: <strong>A and B no audio available; B no data available</strong>

Side A


 Early settlers in Wuli 
 The significance of Tiramakang Trawore in the migration of Waali clan to the West
 The first Waali ruler: Mbari Kajo
 Jatari Bukari Waali's reign 
 War with Futa Toro 
 Jaata's princes of Tiabu settle in in Wuli 
 Wars with Katabutim Tombule and the Saane clan


Side B


 Jalali's death 
 Kope Wali usurps rulership from his elder brother by trichery
 Civil war among Jalali's sons
 The towns of various Waali branches in Wuli 
 Kope overcomes
 Kope Waali's reign 
 Mansa Nyaana Mamadi's reign 
 Seex Mamadu Lamin Darame's wars against the Waali clan
 Capital moves to Sine
 Nyana Mamadi and Finda Mamadi and Yakasara 
 The Singate clan of Neteboulou and their role in the war against Wuli 
 The battle between Sine and Wuli 
 The marabout's flight and death at the hands of the French


<em><sup>Alternative names: Susso, Suso, Manekeba, Sidibeh, </sup></em> <em><sup>Bakary, Bakari, Bakery, Kebba, Wali, Wally, Koppe, Sanneh, Sane, Traore, Momodou ,Traoreh, Traore, Drammeh, Dramme, Drame, Sheik, Shaik, Jatta, Nyana</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.15468/dl.yahkpg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudobarbus calidus (Barnard, 1938)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026893-250525065834625/datasets/export for details.
DOI: 10.15468/dl.9a7f74
title: Occurrence Download

description: A dataset containing 419568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Abies Mill."
 ]
}

 The dataset includes 419568 records from 1698 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026881-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-45040
title: Redemption tidings, vol. 15, nos. 1-26, 2 Jan. - 15 Dec. 1939

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (2 Jan. - 15 Dec. 1939).
DOI: 10.15468/dl.69zhed
title: Occurrence Download

description: A dataset containing 3662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ampedus pomorum (Herbst, 1784), Stenocorus quercus (Götz, 1783), Stenocorus quercus (Götz, 1783))",
 "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 3662 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0156310-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9uy6up
title: Occurrence Download

description: A dataset containing 3991 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cichorium endivia L.)"
 ]
}

 The dataset includes 3991 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042907-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4egzy
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bagarius suchus Roberts, 1983"
 ]
}

 The dataset includes 16 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0336799-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-44956
title: Redemption tidings, vol. 15, nos. 1-26, 2 Jan. - 15 Dec. 1939

description: [description english/roman)] Issued fortnightly (every two weeks). "A full gospel magazine for all believers" -- subtitle. Includes Tidings from our missionaries in each issue (2 Jan. - 15 Dec. 1939).
DOI: 10.15468/dl.pu3kqu
title: Occurrence Download

description: A dataset containing 3738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lobaria pulmonaria (L.) Hoffm.",
 "Year 1979-2013"
 ]
}

 The dataset includes 3738 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069281-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.