cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5518/579
title: Dataset associated with 'High-Speed Modulation of a Terahertz Quantum Cascade Laser by Coherent Acoustic Phonon Pulses'

description: This archive contains the dataset associated with the publication entitled ‘High-Speed Modulation of a Terahertz Quantum Cascade Laser by Coherent Acoustic Phonon Pulses'. Fast modulation of lasers is a fundamental requirement for applications in optical communications, high-resolution spectroscopy and metrology. In the terahertz-frequency range, the quantum-cascade laser (QCL) is a high-power source with the potential for high-frequency modulation. However, conventional electronic modulation is limited fundamentally by parasitic device impedance, and so alternative physical processes must be exploited to modulate the QCL gain on ultrafast timescales. Here, we demonstrate an alternative mechanism to modulate the emission from a QCL device, whereby optically-generated acoustic phonon pulses are used to perturb the QCL bandstructure, enabling fast amplitude modulation that can be controlled using the QCL drive current or strain pulse amplitude, to a maximum modulation depth of 6% in our experiment. We show that this modulation can be explained using perturbation theory analysis. While the modulation rise-time was limited to ~800 ps by our measurement system, theoretical considerations suggest considerably faster modulation could be possible. Data included: power-current (L-I), power-voltage (L-V) data; Voltage across QCL device and Schottky signal detected from device for different bias conditions; Magnitudes of acoustic modulation shown in Figure 4; Resonant tunnelling data from Figure 5; Simulation .mat file for predicted power modulation shown in figure 3 (b).
DOI: 10.15468/dl.fhh2pq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Italy",
 "TaxonKey is Carabus olympiae Sella, 1855"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011880-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14003181
title: NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration

description: README

Link to the Publication

🔗 Read the Paper

Details related to access to the data 

Data user agreement

The terms and conditions for using this dataset are specified in the [LICENCE](LICENCE) file included in this repository. Please review these terms carefully before accessing or using the data.

Contact person

For additional information about the dataset, please contact:- Name: Angela Lombardi- Affiliation: Department of Electrical and Information Engineering, Politecnico di Bari- Email: angela.lombardi@poliba.it

 Practical information to access the data

The dataset can be accessed through our dedicated web platform. To request access:

1. Visit the main dataset page at: https://sisinflab.poliba.it/neurosense-dataset-request/2. Follow the instructions on the website to submit your access request3. Upon approval, you will receive further instructions for downloading the data

Please ensure you have read and agreed to the terms in the data user agreement before requesting access.

Overview

EEG Emotion Recognition - Muse Headset2023-2024

The experiment consists in 40 sessions per user. During each session, users are asked to watch amusic video with the aim to understand their emotions.  Recordings are performed with a Muse EEG headset at a 256 Hz sampling rate.  Channels are recorded as follows:- Channel 0: AF7- Channel 1: TP9- Channel 2: TP10- Channel 3: AF8

The chosen songs have various Last.fm tags in order to create different feelings. The title of every trackcan be found in the "TaskName" field of sub-ID***_ses-S***_task-Default_run-001_eeg.json, while the author,the Last.fm tag and additional information in "TaskDescription".

Methods

Subjects

The subject pool is made of 30 college students, aged between 18 and 35. 16 of them are males, 14 females.

Apparatus

The experiment was performed using the same procedures as those to create[Deap Dataset](https://www.eecs.qmul.ac.uk/mmv/datasets/deap/), which is a dataset to recognize emotions via a BrainComputer Interface (BCI).  

Task organization

Firstly, music videos were selected. Once 40 songs were picked, the protocol was chosen and the self-assessmentquestionnaire was created.

Task details

In order to evaluate the stimulus, Russell's VAD (Valence-Arousal-Dominance) scale was used.  In this scale, valenza-arousal space can be divided in four quadrants:- Low Arousal/Low Valence (LALV);- Low Arousal/High Valence (LAHV);- High Arousal/Low Valence (HALV);- High Arousal/High Valence (HAHV).

Experimental location

The experiment was performed in a laboratory located at DEI Department of[Politecnico di Bari](https://www.poliba.it/).

Missing data

Data recorded during session S019 - Session 2, ID021 - Session 23,  user was corrupted, therefore is missing.  Sessions S033 and S038 of ID015 user show a calculated effective sampling rate lower than 256 Hz:- ID015_ses-S033 has 226.1320 Hz- ID015_ses-S038 has 216.9549 Hz
DOI: 10.15468/dl.bh6vnc
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((103.34408 2.88966,125.98409 2.88966,125.98409 27.79367,103.34408 27.79367,103.34408 2.88966))",
 "OccurrenceStatus is Present",
 "TaxonKey is Leptoseris Milne Edwards & Haime, 1849"
 ]
}

 The dataset includes 142 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011881-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14002374
title: NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration

description: README

Link to the Publication

🔗 Read the Paper

Details related to access to the data 

Data user agreement

The terms and conditions for using this dataset are specified in the [LICENCE](LICENCE) file included in this repository. Please review these terms carefully before accessing or using the data.

Contact person

For additional information about the dataset, please contact:- Name: Angela Lombardi- Affiliation: Department of Electrical and Information Engineering, Politecnico di Bari- Email: angela.lombardi@poliba.it

 Practical information to access the data

The dataset can be accessed through our dedicated web platform. To request access:

1. Visit the main dataset page at: https://sisinflab.poliba.it/neurosense-dataset-request/2. Follow the instructions on the website to submit your access request3. Upon approval, you will receive further instructions for downloading the data

Please ensure you have read and agreed to the terms in the data user agreement before requesting access.

Overview

EEG Emotion Recognition - Muse Headset2023-2024

The experiment consists in 40 sessions per user. During each session, users are asked to watch amusic video with the aim to understand their emotions.  Recordings are performed with a Muse EEG headset at a 256 Hz sampling rate.  Channels are recorded as follows:- Channel 0: AF7- Channel 1: TP9- Channel 2: TP10- Channel 3: AF8

The chosen songs have various Last.fm tags in order to create different feelings. The title of every trackcan be found in the "TaskName" field of sub-ID***_ses-S***_task-Default_run-001_eeg.json, while the author,the Last.fm tag and additional information in "TaskDescription".

Methods

Subjects

The subject pool is made of 30 college students, aged between 18 and 35. 16 of them are males, 14 females.

Apparatus

The experiment was performed using the same procedures as those to create[Deap Dataset](https://www.eecs.qmul.ac.uk/mmv/datasets/deap/), which is a dataset to recognize emotions via a BrainComputer Interface (BCI).  

Task organization

Firstly, music videos were selected. Once 40 songs were picked, the protocol was chosen and the self-assessmentquestionnaire was created.

Task details

In order to evaluate the stimulus, Russell's VAD (Valence-Arousal-Dominance) scale was used.  In this scale, valenza-arousal space can be divided in four quadrants:- Low Arousal/Low Valence (LALV);- Low Arousal/High Valence (LAHV);- High Arousal/Low Valence (HALV);- High Arousal/High Valence (HAHV).

Experimental location

The experiment was performed in a laboratory located at DEI Department of[Politecnico di Bari](https://www.poliba.it/).

Missing data

Data recorded during session S019 - Session 2, ID021 - Session 23,  user was corrupted, therefore is missing.  Sessions S033 and S038 of ID015 user show a calculated effective sampling rate lower than 256 Hz:- ID015_ses-S033 has 226.1320 Hz- ID015_ses-S038 has 216.9549 Hz
DOI: 10.5281/zenodo.14002375
title: NeuroSense: A Novel EEG Dataset Utilizing Low-Cost, Sparse Electrode Devices for Emotion Exploration

description: # README

## Details related to access to the data 

### Data user agreementThe terms and conditions for using this dataset are specified in the [LICENCE](LICENCE) file included in this repository. Please review these terms carefully before accessing or using the data.

### Contact personFor additional information about the dataset, please contact:- **Name:** Angela Lombardi- **Affiliation:** Department of Electrical and Information Engineering, Politecnico di Bari- **Email:** angela.lombardi@poliba.it

### Practical information to access the dataThe dataset can be accessed through our dedicated web platform. To request access:

1. Visit the main dataset page at: https://sisinflab.poliba.it/neurosense-dataset-request/2. Follow the instructions on the website to submit your access request3. Upon approval, you will receive further instructions for downloading the data

Please ensure you have read and agreed to the terms in the data user agreement before requesting access.

## Overview

### EEG Emotion Recognition - Muse Headset#### 2023-2024

The experiment consists in 40 sessions per user. During each session, users are asked to watch amusic video with the aim to understand their emotions.  Recordings are performed with a Muse EEG headset at a 256 Hz sampling rate.  Channels are recorded as follows:- Channel 0: AF7- Channel 1: TP9- Channel 2: TP10- Channel 3: AF8

The chosen songs have various Last.fm tags in order to create different feelings. The title of every trackcan be found in the "TaskName" field of sub-ID***_ses-S***_task-Default_run-001_eeg.json, while the author,the Last.fm tag and additional information in "TaskDescription".

## Methods

### Subjects

The subject pool is made of 30 college students, aged between 18 and 35. 16 of them are males, 14 females.

### Apparatus

The experiment was performed using the same procedures as those to create[Deap Dataset](https://www.eecs.qmul.ac.uk/mmv/datasets/deap/), which is a dataset to recognize emotions via a BrainComputer Interface (BCI).  

### Task organization

Firstly, music videos were selected. Once 40 songs were picked, the protocol was chosen and the self-assessmentquestionnaire was created.

### Task details

In order to evaluate the stimulus, Russell's VAD (Valence-Arousal-Dominance) scale was used.  In this scale, valenza-arousal space can be divided in four quadrants:- Low Arousal/Low Valence (LALV);- Low Arousal/High Valence (LAHV);- High Arousal/Low Valence (HALV);- High Arousal/High Valence (HAHV).

### Experimental location

The experiment was performed in a laboratory located at DEI Department of[Politecnico di Bari](https://www.poliba.it/).

### Missing dataData recorded during session S019 - Session 2, ID021 - Session 23,  user was corrupted, therefore is missing.  Sessions S033 and S038 of ID015 user show a calculated effective sampling rate lower than 256 Hz:- ID015_ses-S033 has 226.1320 Hz- ID015_ses-S038 has 216.9549 Hz
DOI: 10.15468/dl.h79re7
title: Occurrence Download

description: A dataset containing 2705 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"in","key":"TAXON_KEY","values":["4017339"],"matchCase":false},{"type":"in","key":"COUNTRY","values":["ES","PT"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["Human observation"],"matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false}]}

 The dataset includes 2705 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011883-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnmad4
title: Occurrence Download

description: A dataset containing 463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((105.50397 -1.20967,128.35001 -1.20967,128.35001 29.16107,105.50397 29.16107,105.50397 -1.20967))",
 "TaxonKey is Pavona Lamarck, 1801"
 ]
}

 The dataset includes 463 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011882-241024112534372/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.27330546
title: <b>DATA for Robbing the rich to help the poor: seed-seed interaction delayed the rapid germination and accelerated slower one</b>

description: <b>DATA FOR </b><b>Robbing the rich to help the poor: seed-seed interaction delayed the rapid germination and accelerated slower one</b>
DOI: 10.6084/m9.figshare.27330546.v1
title: <b>DATA for Robbing the rich to help the poor: seed-seed interaction delayed the rapid germination and accelerated slower one</b>

description: <b>DATA FOR </b><b>Robbing the rich to help the poor: seed-seed interaction delayed the rapid germination and accelerated slower one</b>
DOI: 10.15468/dl.r473za
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Comostola cedilla Prout, 1917"
 ]
}

 The dataset includes 92 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011884-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/583
title: Supercurrent in ferromagnetic Josephson junctions with heavy metal interlayers II: canted magnetization - dataset

description: This is the dataset for "Supercurrent in ferromagnetic Josephson junctions with heavy metal interlayers II: canted magnetization" containing raw magnetometry and transport data appearing in the main text.
DOI: 10.6084/m9.figshare.27330537
title: Proteomic analysis of Antarctic sea-ice yeast Rhodotorula mucilaginosa AN5 responding to hypersalinity and hyposalinity stress

description: We investigated the survival and adaptive strategies of Antarctic yeast <i>Rhodotorula mucilaginosa</i> AN5 treated individually with high (15 %) and low (0 %) salinity to simulate the natural environment.We performed growth assays, SEM, biochemical factor assays, and proteomic analysis of yeast based on iTRAQ and PRM technology.
DOI: 10.6084/m9.figshare.27330537.v1
title: Proteomic analysis of Antarctic sea-ice yeast Rhodotorula mucilaginosa AN5 responding to hypersalinity and hyposalinity stress

description: We investigated the survival and adaptive strategies of Antarctic yeast <i>Rhodotorula mucilaginosa</i> AN5 treated individually with high (15 %) and low (0 %) salinity to simulate the natural environment.We performed growth assays, SEM, biochemical factor assays, and proteomic analysis of yeast based on iTRAQ and PRM technology.
DOI: 10.15468/dl.mze7yt
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((103.52218 1.73275,127.22242 1.73275,127.22242 30.50799,103.52218 30.50799,103.52218 1.73275))",
 "TaxonKey is Euphyllia Dana, 1846"
 ]
}

 The dataset includes 98 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011886-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhre22
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((102.27425 2.22833,129.25755 2.22833,129.25755 31.20688,102.27425 31.20688,102.27425 2.22833))",
 "TaxonKey is Fimbriaphyllia Veron & Pichon, 1980"
 ]
}

 The dataset includes 139 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011887-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwyjb5
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((104.98416 4.59163,126.5375 4.59163,126.5375 30.6495,104.98416 30.6495,104.98416 4.59163))",
 "TaxonKey is Galaxea Oken, 1815"
 ]
}

 The dataset includes 191 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011889-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egg6ed
title: Occurrence Download

description: A dataset containing 7023 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dissostichus mawsoni Norman, 1937"
 ]
}

 The dataset includes 7023 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011890-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9761610
title: AutoXGB
DOI: 10.34740/kaggle/dsv/9761601
title: Health Workforce Shortage Areas
DOI: 10.34740/kaggle/dsv/9761611
title: OnlineFree
DOI: 10.5517/ccdc.csd.cc2g4mdn
title: CCDC 2268561: Experimental Crystal Structure Determination

description: Related Article: Yao Xiao, Hong-Tao Zhang, Ming-Tian Zhang|2024|J.Am.Chem.Soc.|146|28832|doi:10.1021/jacs.4c08510
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.cc2g4mgq
title: CCDC 2268563: Experimental Crystal Structure Determination

description: Related Article: Yao Xiao, Hong-Tao Zhang, Ming-Tian Zhang|2024|J.Am.Chem.Soc.|146|28832|doi:10.1021/jacs.4c08510
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.cc2gx3s9
title: CCDC 2291141: Experimental Crystal Structure Determination

description: Related Article: Yao Xiao, Hong-Tao Zhang, Ming-Tian Zhang|2024|J.Am.Chem.Soc.|146|28832|doi:10.1021/jacs.4c08510
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.cc2h0pks
title: CCDC 2294575: Experimental Crystal Structure Determination

description: Related Article: Eric S. Yang, Álvaro García-Romero, Chenyang Hu, Jess Fletcher, Christine M. Thomas, Jose M. Goicoechea|2024|J.Am.Chem.Soc.|146|29207|doi:10.1021/jacs.4c11741
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.cc2h0plt
title: CCDC 2294576: Experimental Crystal Structure Determination

description: Related Article: Eric S. Yang, Álvaro García-Romero, Chenyang Hu, Jess Fletcher, Christine M. Thomas, Jose M. Goicoechea|2024|J.Am.Chem.Soc.|146|29207|doi:10.1021/jacs.4c11741
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.cc2h0pmv
title: CCDC 2294577: Experimental Crystal Structure Determination

description: Related Article: Eric S. Yang, Álvaro García-Romero, Chenyang Hu, Jess Fletcher, Christine M. Thomas, Jose M. Goicoechea|2024|J.Am.Chem.Soc.|146|29207|doi:10.1021/jacs.4c11741
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.cc2h0pnw
title: CCDC 2294578: Experimental Crystal Structure Determination

description: Related Article: Eric S. Yang, Álvaro García-Romero, Chenyang Hu, Jess Fletcher, Christine M. Thomas, Jose M. Goicoechea|2024|J.Am.Chem.Soc.|146|29207|doi:10.1021/jacs.4c11741
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.cc2j2w5p
title: CCDC 2326462: Experimental Crystal Structure Determination

description: Related Article: Kevin A. Kunz, Bastian L. Springer, Philipp Klahn, Hülya Aldemir, Fabian Mohr, Stefan F. Kirsch|2024|Org.Lett.|26|8816|doi:10.1021/acs.orglett.4c03204
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.cc2j2w6q
title: CCDC 2326463: Experimental Crystal Structure Determination

description: Related Article: Kevin A. Kunz, Bastian L. Springer, Philipp Klahn, Hülya Aldemir, Fabian Mohr, Stefan F. Kirsch|2024|Org.Lett.|26|8816|doi:10.1021/acs.orglett.4c03204
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.