cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2kyvyb
title: CCDC 2382193: Experimental Crystal Structure Determination

description: Related Article: Jinliang Zhang, Zhiqiang Zhang, Congli Gao, Xi-Li Li|2024|CrystEngComm|26|6757|doi:10.1039/D4CE01052C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kz07t
title: CCDC 2382326: Experimental Crystal Structure Determination

description: Related Article: Jinliang Zhang, Zhiqiang Zhang, Congli Gao, Xi-Li Li|2024|CrystEngComm|26|6757|doi:10.1039/D4CE01052C
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kzm7f
title: CCDC 2382915: Experimental Crystal Structure Determination

description: Related Article: Yuman Guo, Hao Wu, Meng-Jiao Zhang, Feng-Shou Liu|2024|Polym.Chem.|15|4962|doi:10.1039/D4PY01026D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kzm8g
title: CCDC 2382916: Experimental Crystal Structure Determination

description: Related Article: Yuman Guo, Hao Wu, Meng-Jiao Zhang, Feng-Shou Liu|2024|Polym.Chem.|15|4962|doi:10.1039/D4PY01026D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kzm9h
title: CCDC 2382917: Experimental Crystal Structure Determination

description: Related Article: Yuman Guo, Hao Wu, Meng-Jiao Zhang, Feng-Shou Liu|2024|Polym.Chem.|15|4962|doi:10.1039/D4PY01026D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hc9nv
title: CCDC 2304777: Experimental Crystal Structure Determination

description: Related Article: S. Steiner, K. Djordjevic, V. Bockmair, D. Hollenwäger, A.J. Kornath|2024|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|80|792|doi:10.1107/S2053229624010714
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ld067
title: CCDC 2394818: Experimental Crystal Structure Determination

description: Related Article: V. Bockmair, A. Klöck, D. Hollenwäger, A.J. Kornath|2024|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|80|781|doi:10.1107/S2053229624010489
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hcb5d
title: CCDC 2304793: Experimental Crystal Structure Determination

description: Related Article: S. Steiner, K. Djordjevic, V. Bockmair, D. Hollenwäger, A.J. Kornath|2024|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|80|792|doi:10.1107/S2053229624010714
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2jj5nx
title: CCDC 2339249: Experimental Crystal Structure Determination

description: Related Article: H.H. Al Mamari, S. Al Sulaimi, L. Mardiana, P.G. Waddell, M.J. Hall|2024|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|80|775|doi:10.1107/S2053229624010982
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lmtgj
title: CCDC 2402328: Experimental Crystal Structure Determination

description: Related Article: Kushal Arya, Sanjay Mehra, Ajay Kumar, Vaneet Saini, Arvind Kumar, Surinder Kumar Mehta, Ramesh Kataria|2024|New J.Chem.|48|20018|doi:10.1039/D4NJ04352A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34943/0daba26d-2222-44b8-a99a-155e84b552e1
title: Port McNeill - Alert Bay - Sointula Ferry Route Conductivity Temperature Depth Deployed 2024-12-19

description: The AML-3 RT A30144 was deployed on 2024-12-19 on Port McNeill - Alert Bay - Sointula Ferry Route. This ferry route goes between Cormorant Island (Alert Bay), BC, Port McNeill, BC and Malcolm Island (Sointula), BC. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a mobile platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.14588492
title: Antigama, Discomfort - Audio Analysis Dataset (Metal Music)

description: This dataset provides an in-depth audio analysis of Discomfort by Antigama, a ferocious Death Metal album released in 2004. Renowned for its chaotic energy, experimental elements, and relentless aggression, the album is broken down into its 13 tracks to uncover the layers of its complex sound.

Each track analysis includes:







Root Mean Square (RMS)




Chroma Features




Spectral Flatness




Mel Frequency Cepstral Coefficients (MFCC)




Zero Crossing Rate




Onset Detection Function




Spectrogram




Spectral Centroid




Spectral Contrast




Spectral Bandwidth




Tonnetz




Harmonic and Percussive Components

 





Included files for each track:





CSV files containing numerical data from the analyses.




JPG/PNG images of graphs illustrating the analyzed parameters.



 



The analyses were performed using open-source software, primarily Librosa and Python, ensuring high transparency and reproducibility.

Purpose of the Dataset:

The dataset is an ideal resource for audio analysts, sound engineers, and metal enthusiasts looking to explore the raw and intricate essence of Discomfort.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.
DOI: 10.5281/zenodo.14588493
title: Antigama, Discomfort - Audio Analysis Dataset (Metal Music)

description: This dataset provides an in-depth audio analysis of Discomfort by Antigama, a ferocious Death Metal album released in 2004. Renowned for its chaotic energy, experimental elements, and relentless aggression, the album is broken down into its 13 tracks to uncover the layers of its complex sound.

Each track analysis includes:







Root Mean Square (RMS)




Chroma Features




Spectral Flatness




Mel Frequency Cepstral Coefficients (MFCC)




Zero Crossing Rate




Onset Detection Function




Spectrogram




Spectral Centroid




Spectral Contrast




Spectral Bandwidth




Tonnetz




Harmonic and Percussive Components

 





Included files for each track:





CSV files containing numerical data from the analyses.




JPG/PNG images of graphs illustrating the analyzed parameters.



 



The analyses were performed using open-source software, primarily Librosa and Python, ensuring high transparency and reproducibility.

Purpose of the Dataset:

The dataset is an ideal resource for audio analysts, sound engineers, and metal enthusiasts looking to explore the raw and intricate essence of Discomfort.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.
DOI: 10.5281/zenodo.14337153
title: Mari4_YARD - Exoskeletons - Dataset

description: The dataset of the Demonstrator of Exoskeletons consists of the Excel file "Mari4_YARD - Exoskeletons - Demonstrator". The Excel file contains both the collected dataset, the analysis performed to extract the KPIs and the final results.
DOI: 10.5281/zenodo.14337154
title: Mari4_YARD - Exoskeletons - Dataset

description: The dataset of the Demonstrator of Exoskeletons consists of the Excel file "Mari4_YARD - Exoskeletons - Demonstrator". The Excel file contains both the collected dataset, the analysis performed to extract the KPIs and the final results.
DOI: 10.5281/zenodo.14591343
title: Mari4_YARD - Exoskeletons - Dataset

description: The dataset of the Demonstrator of Exoskeletons consists of the Excel file "Mari4_YARD - Exoskeletons - Demonstrator". The Excel file contains both the collected dataset, the analysis performed to extract the KPIs and the final results.
DOI: 10.18150/a2myeh
title: Ergonomic medical chin rest manufactured using 3D printing technology as an enhancement to the Tobii Chin Rest stand for eye-tracking analysis.

description: The need for modifications to the chin rest for the stand arose during an eye-tracking analysis conducted using the Tobii Chin Rest stand. Head stabilization during eye-tracking studies is essential.The original chin rest enforces a position where the participants' chin is aligned parallel to the floor. Additionally, its smooth surface allows adjustments in distance relative to the screen and eye-tracker, as well as rotation.A more favorable position for efficient data collection (resulting in better calibration and a higher percentage of data gathered) is one where the participant's chin is slightly tilted downward and gently supported from the front. This positioning reduces the likelihood of the lower eyelashes, prominent cheekbones, eyeglass frames, and eyelids obstructing the cornea.The factors mentioned above may cause differences leading to varying angles of infrared light signals emitted by the eye-tracker onto the corneas of different individuals, which could result in greater deviations between measurements and, consequently, lower data quality.The improved version (compared to the original) features a wall that blocks the chin once it is placed on the chin rest. Additionally, it is wider and contoured to fit the shape of the human chin. The ergonomic design enhances the comfort of the participant during the study.The final version of the chin rest was manufactured using 3D printing technology with white PLA filament of 1.75 mm diameter, using a Bamboo A1 printer. The dimensions and shape, along with visualizations (renders), are included as part of the data set.The upgraded chin rest is attached using the original screw included in the Tobii Chin Rest kit, secured by the M5 metric thread drilled into it.
DOI: 10.15468/dl.s9zgk2
title: Occurrence Download

description: A dataset containing 731048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.HKG",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 731048 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055631-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cu4sw9
title: Occurrence Download

description: A dataset containing 295624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is USA.12.2_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 295624 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055632-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.grau2m
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((93.3326 7.09066,95.07519 -0.53917,101.85191 -6.62342,108.72544 -6.14238,109.49992 -0.73278,106.11156 3.81446,95.94648 6.4177,93.3326 7.09066))",
 "HasGeospatialIssue is false",
 "TaxonKey is Rafflesia arnoldi R.Br."
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055637-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14588490
title: Antigama, Depressant - Audio Analysis Dataset (Metal Music)

description: This dataset offers a comprehensive audio analysis of Depressant by Antigama, a 2017 release that pushes the boundaries of Death Metal with its intense soundscapes and dark, experimental undertones. Comprising 7 tracks, the album showcases Antigama's unique blend of aggression, technical precision, and atmospheric depth.

For each track, the dataset provides:







Root Mean Square (RMS)




Chroma Features




Spectral Flatness




Mel Frequency Cepstral Coefficients (MFCC)




Zero Crossing Rate




Onset Detection Function




Spectrogram




Spectral Centroid




Spectral Contrast




Spectral Bandwidth




Tonnetz




Harmonic and Percussive Components

 





Included files for each track:





CSV files containing numerical data from the analyses.




JPG/PNG images of graphs illustrating the analyzed parameters.



 



Purpose of the Dataset:

Whether you're a researcher, audio engineer, or a fan eager to delve into the intricacies of Depressant, this resource offers a window into the technical artistry behind Antigama's sound.

By dissecting the album at such a granular level, this dataset enables users to appreciate the interplay of brutality and experimentation that defines Depressant, making it a valuable resource for anyone interested in extreme metal or audio analysis.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.
DOI: 10.5281/zenodo.14588491
title: Antigama, Depressant - Audio Analysis Dataset (Metal Music)

description: This dataset offers a comprehensive audio analysis of Depressant by Antigama, a 2017 release that pushes the boundaries of Death Metal with its intense soundscapes and dark, experimental undertones. Comprising 7 tracks, the album showcases Antigama's unique blend of aggression, technical precision, and atmospheric depth.

For each track, the dataset provides:







Root Mean Square (RMS)




Chroma Features




Spectral Flatness




Mel Frequency Cepstral Coefficients (MFCC)




Zero Crossing Rate




Onset Detection Function




Spectrogram




Spectral Centroid




Spectral Contrast




Spectral Bandwidth




Tonnetz




Harmonic and Percussive Components

 





Included files for each track:





CSV files containing numerical data from the analyses.




JPG/PNG images of graphs illustrating the analyzed parameters.



 



Purpose of the Dataset:

Whether you're a researcher, audio engineer, or a fan eager to delve into the intricacies of Depressant, this resource offers a window into the technical artistry behind Antigama's sound.

By dissecting the album at such a granular level, this dataset enables users to appreciate the interplay of brutality and experimentation that defines Depressant, making it a valuable resource for anyone interested in extreme metal or audio analysis.

Software Used:

The analyses were performed using the open-source software Librosa (Python), ensuring a transparent and reproducible approach.

License:

This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, allowing data reuse for any purpose, provided the source is credited.

Acknowledgments:

Special thanks to the open-source community and tools like Librosa, which make analyses like this possible.
DOI: 10.5281/zenodo.14280586
title: Shipyards process comparisons - Dataset

description: Table contains dataset of shipyards current procedures in comparison wit modified procedures achiveable with new technologies tested in shipyard.
DOI: 10.5281/zenodo.14280587
title: Shipyards process comparisons - Dataset

description: Table contains dataset of shipyards current procedures in comparison wit modified procedures achiveable with new technologies tested in shipyard.
DOI: 10.5281/zenodo.14591358
title: Shipyards process comparisons - Dataset

description: Table contains dataset of shipyards current procedures in comparison wit modified procedures achiveable with new technologies tested in shipyard.
DOI: 10.5281/zenodo.14580135
title: Dataset for "Activation tunneling effect in cloud formation"
DOI: 10.5281/zenodo.14580136
title: Dataset for "Activation tunneling effect in cloud formation"
DOI: 10.5281/zenodo.14264418
title: Mari4_YARD - AR Handhelds - Dataset

description: The following dataset was created during the Demonstration of TUHH handheld device on Brodosplits facilities in March 2024 during the Mari4_YARD project.A worker had the task to check the current state of a ship section that was under construction. The digital approach should be compared to the traditional, paper based one.

## Dataset Details-------------------

### General Information

* **Name:TUHH_BIS_demo** * **Device:iPad Pro 11 (3rd Gen), Windows-PC**  * **Episodes:6** * **File Size:57,5** in MB

### Data Collection

* **Method:video recording, time recording, feedback data analysis*** **Scene Type:example supervision scenarios**

## Dataset Structure---------------------

The dataset consists of following main components:

### Recording Data* **Results_excel_Comparison_M4Y_WP6_data_BIS_TUHH**: Calculation and results of the comparison between the two approaches in time, as provided by BIS. Format: .xlsx* **Recording_excel_AnalyticalEstimation_Results**: Results of the analytical estinmation given by shipyard experts regarding the potential of such digital approach. Format: .xlsx* **Recording_excel_Satisfaction_Results**: Results of the form given to the workers regarding satisfaction with the digital approach after testing. Format: .xlsx* **Recording_video_TestingOnSiteA_Shortened**: Video snippet showing the testing with the digital approach. Format: .mp4* **Recording_excel_FileExport**: Export of the results after the worker checked the section, as visible in above video. PartID refers to the checked part, progress is 1 (assembled) or 0 (not assembled/checked). Format: .xlsx* **Recording_photo_image_133554998061248700**: Photo taken by the worker in order to report that a heating device was not assembled. Format: .png

## Data Format----------------

Self explainatory.

## Description--------------

This dataset should help to understand how the results of the demonstration were aquired.

## Acknowledgments------------------

The Mari4_YARD project supports this work. This project has received funding from the European Union’s research and innovation programme Horizon Europe under the grant agreement No. 101092100..

## Contributing--------------

If you would like to contribute to this dataset, please contact us at "vincent.settler[at]tuhh.de".

## License-------License applies for all data except for video material, which cannot be used without permission. This dataset is licensed under [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).![Creative Commons License](https://i.creativecommons.org/l/by/4.0/88x31.png)
DOI: 10.57841/casdc.0004485
title: 2023年油气通道干扰科考日志
DOI: 10.15468/dl.w2y5ch
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.15.2.2_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055640-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28129961
title: Supplementary files of article "Adaptive Laboratory Evolution Uncovers Potential Role of a DNA Helicase mutation in Torulaspora delbrueckii Increased Sulphite Resistance"

description: Supplementary files that support the article Adaptive Laboratory Evolution Uncovers Potential Role of a DNA Helicase mutation in <i>Torulaspora delbrueckii</i> Increased Sulphite Resistance
DOI: 10.15468/dl.kubqfw
title: Occurrence Download

description: A dataset containing 79820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is USA.1.35_1",
 "TaxonKey is Passeriformes",
 "Year 1994-2023"
 ]
}

 The dataset includes 79820 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055639-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.