cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/dea.mims.26052199
title: Marion Island Relief Voyage on the SA Agulhas II Voyage 015, April 2015

description: The Marion Island Relief Voyage was conducted on the SA Agulhas II Voyage 015 from 9 April to 15 May, 2015. The 2015 Marion Relief Voyage on board South Africa’s polar research and supply vessel MV SA Agulhas II offered yet another opportunity to conduct multi-disciplinary ship-based oceanographic research focusing on links and interactions between air and sea, ocean physics, chemistry, biogeochemistry and biology, including microbial, planktic and benthic communities. The overall aim was to continue contributing to the establishment of an oceanographic observation and monitoring system directed by South African research institutions in support of South Africa’s needs – and where possible, the global requirements of the Global Oceans Observing System (GOOS), the Southern Ocean Observing System (SOOS), the Convention for the Conservation of Antarctic Marine Living Resources (CCAMLR), the Agreement on the Conservation of Albatrosses and Petrels (ACAP), etc. With the declaration in April 2013 of the Prince Edward Islands (PEIs) as South Africa’s first offshore Marine Protected Area (MPA), the outcomes of this cruise will further contribute toward an integrated view and a better understanding of the functioning of the combined island/marine PEI ecosystem.
DOI: 10.15493/dea.mims.05122024
title: Marion Island Relief Voyage on the SA Agulhas II Voyage 062, May 2024

description: The 2024 Marion Relief Voyage 062, offered the 12th opportunity to conduct multi-disciplinary, ship-based oceanographic research on board the SA Agulhas II en route to, from, and around, the sub-Antarctic Prince Edward Islands (PEIs). The ship-based research was conducted as a joint multi-institutional, multidisciplinary effort with scientists, research technicians, interns and students from the Department of Forestry, Fisheries and the Environment: Oceans & Coastal Research (DFFE-OCR), Department of Forestry, Fisheries and the Environment: Specialist Monitoring Services (DFFE-SMS), Bayworld Centre for Research and Education (BCRE) and the University of Cape Town (UCT), all collaborating to achieve a variety of research and monitoring project objectives. The voyage took place between 15 April 2024 and 21 May 2024.
DOI: 10.15493/dea.mims.26052196
title: Marion Island Relief Voyage on SA Agulhas II Voyage 011, April 2014

description: The Marion Island Relief Voyage was conducted on the SA Agulhas II Voyage 011, 14 April to 14 May 2014. The 2014 Marion Relief Voyage on board South Africa’s polar research and supply vessel MV SA Agulhas II, offered another opportunity to conduct multi-disciplinary ship-based oceanographic research focusing on links and interactions between air and sea, ocean physics, chemistry, biogeochemistry and biology. The overall aim was to continue contributing to the establishment of an oceanographic observation and monitoring system directed by South African research institutions in support of South Africa’s needs – and where possible, the global requirements of GOOS, SOOS, CCAMLR, ACAP, etc. With the recent declaration in April 2013 of the Prince Edward Islands (PEIs) as South Africa’s first offshore Marine Protected Area (MPA), the outcomes of this cruise will further contribute toward an integrated view and a better understanding of the functioning of the combined island/marine PEI ecosystem.
DOI: 10.17632/f3m8jp5bsx
title: Raw Infrasound Data from Cotopaxi Volcano: Volcanic Events (2024)

description: This dataset contains raw infrasound data from Cotopaxi Volcano (2024), used for monitoring volcanic events such as lahars. The data is part of the project "Aplicación de la Tecnología IoT en la Mitigación del Impacto Causado por Lahares en el Volcán Cotopaxi". The system aims to detect volcanic activity in real time, alerting authorities and the population to mitigate risks associated with lahars and volcanic eruptions.
DOI: 10.17632/f3m8jp5bsx.1
title: Raw Infrasound Data from Cotopaxi Volcano: Volcanic Events (2024)

description: This dataset contains raw infrasound data from Cotopaxi Volcano (2024), used for monitoring volcanic events such as lahars. The data is part of the project "Aplicación de la Tecnología IoT en la Mitigación del Impacto Causado por Lahares en el Volcán Cotopaxi". The system aims to detect volcanic activity in real time, alerting authorities and the population to mitigate risks associated with lahars and volcanic eruptions.
DOI: 10.17632/4fh372cgdy
title: Data for: Modelling Hydrogen Peroxide Adsorption on Cerium Dioxide: The Effect of Surface Strain

description: This repository support the paper published in Catalysis Science & Technology, 2025, DOI: 10.1039/D5CY00589B
DOI: 10.17632/4fh372cgdy.1
title: Data for: Modelling Hydrogen Peroxide Adsorption on Cerium Dioxide: The Effect of Surface Strain

description: This repository support the paper published in Catalysis Science & Technology, 2025, DOI: 10.1039/D5CY00589B
DOI: 10.17632/m7rz6n7k9y
title: Printability and Mechanical Properties of Laminated Multiwalled Polymer-Polymer Interpenetrating Phase Composites

description: this data constitutes a singular excel file with multiple sheets that contains the raw data for all mechanical compressive tests of the samples included in the paper along with the analysis performed
DOI: 10.17632/ggdyfh78d7
title: Acoustic dataset for "Dual‐Signal Buzz Pollination Monitoring: How Flight and Floral Vibrations Complement Each Other to Improve Bee Species Identification"

description: Research hypothesis
We hypothesized that the acoustic signatures of bee floral buzzes and flight sounds encode species-specific patterns that can be automatically distinguished using machine-learning methods. In particular, by combining “static” features (event duration, fundamental frequency, and a selected subset of Mel-frequency cepstral coefficients) with “dynamic” or cinematic features (statistical moments, RMS envelope, spectral band-power in predefined bands, and a rolling‐element fault indicator), a Random Forest classifier can reliably separate floral buzz from flight and further discriminate among five bee species.

Data description & collection
This dataset comprises 200 individual sound events (100 floral floral buzzes, 100 flight buzzes recordings) from five bee species. For each event we provide:

Metadata (buzz_data.csv)

id: unique integer identifier

type: behavior label (“floral” or “flight” buzzes)

Acoustic features

duration_s: buzz or flight duration in seconds

fundamental_frequency (Hz)

Fifteen selected MFCC coefficients (e.g. mel_7, mel_20, …, mel_167)


All raw audio files (.wav), per-sample time‐amplitude exports (.txt), and acoustic feature tables are provided.

Notable findings
Using a Random Forest classifier (200 trees) with 1 000 randomized train/test splits (33 % hold-out each), we observe:

Floral buzz classification: 82.2 % ± 6.7 % accuracy

Flight buzz classification: 90.9 % ± 5.2 % accuracy

Combined classification: 95.0 % ± 3.9 % accuracy

Feature-importance consistently ranked fundamental frequency, certain MFCC quantiles (e.g. 75th and 97.5th percentiles of MFCC 5 and 11), and specific envelope band-power bands (310–400 Hz, 110–130 Hz, 225–250 Hz) as most discriminative.

Interpretation & reuse
Researchers can load the CSV tables into Python, R, or other tools to:

Reproduce or benchmark acoustic classification models

Explore species-specific acoustic patterns via feature analysis

Extend the dataset with new recordings or alternative feature-extraction methods

Integrate into automated pollinator monitoring pipelines

The accompanying GitHub repository (DOI: …) contains all Python scripts for feature extraction and model training. Users should first run the cinematic-feature extraction script on the raw .txt files, then apply the classification script to reproduce our results.

Licensing & citation
This dataset is released under CC BY 4.0. Please cite the Mendeley Data DOI and our code DOI (Zenodo) when reusing.
DOI: 10.17632/m7rz6n7k9y.1
title: Printability and Mechanical Properties of Laminated Multiwalled Polymer-Polymer Interpenetrating Phase Composites

description: this data constitutes a singular excel file with multiple sheets that contains the raw data for all mechanical compressive tests of the samples included in the paper along with the analysis performed
DOI: 10.17632/ggdyfh78d7.1
title: Acoustic dataset for "Dual‐Signal Buzz Pollination Monitoring: How Flight and Floral Vibrations Complement Each Other to Improve Bee Species Identification"

description: Research hypothesis
We hypothesized that the acoustic signatures of bee floral buzzes and flight sounds encode species-specific patterns that can be automatically distinguished using machine-learning methods. In particular, by combining “static” features (event duration, fundamental frequency, and a selected subset of Mel-frequency cepstral coefficients) with “dynamic” or cinematic features (statistical moments, RMS envelope, spectral band-power in predefined bands, and a rolling‐element fault indicator), a Random Forest classifier can reliably separate floral buzz from flight and further discriminate among five bee species.

Data description & collection
This dataset comprises 200 individual sound events (100 floral floral buzzes, 100 flight buzzes recordings) from five bee species. For each event we provide:

Metadata (buzz_data.csv)

id: unique integer identifier

type: behavior label (“floral” or “flight” buzzes)

Acoustic features

duration_s: buzz or flight duration in seconds

fundamental_frequency (Hz)

Fifteen selected MFCC coefficients (e.g. mel_7, mel_20, …, mel_167)


All raw audio files (.wav), per-sample time‐amplitude exports (.txt), and acoustic feature tables are provided.

Notable findings
Using a Random Forest classifier (200 trees) with 1 000 randomized train/test splits (33 % hold-out each), we observe:

Floral buzz classification: 82.2 % ± 6.7 % accuracy

Flight buzz classification: 90.9 % ± 5.2 % accuracy

Combined classification: 95.0 % ± 3.9 % accuracy

Feature-importance consistently ranked fundamental frequency, certain MFCC quantiles (e.g. 75th and 97.5th percentiles of MFCC 5 and 11), and specific envelope band-power bands (310–400 Hz, 110–130 Hz, 225–250 Hz) as most discriminative.

Interpretation & reuse
Researchers can load the CSV tables into Python, R, or other tools to:

Reproduce or benchmark acoustic classification models

Explore species-specific acoustic patterns via feature analysis

Extend the dataset with new recordings or alternative feature-extraction methods

Integrate into automated pollinator monitoring pipelines

The accompanying GitHub repository (DOI: …) contains all Python scripts for feature extraction and model training. Users should first run the cinematic-feature extraction script on the raw .txt files, then apply the classification script to reproduce our results.

Licensing & citation
This dataset is released under CC BY 4.0. Please cite the Mendeley Data DOI and our code DOI (Zenodo) when reusing.
DOI: 10.17632/ns58dfwm8c
title: Biochemical reactions of the seaweed Ulva rigida in response to effect od Bispenol A

description: Dataset involving the investigation of ROS production-related phenomena and biochemical reactions, and specifically the activation of the enzymatic antioxidant mechanism of SOD and APX to scavenge ROS, the membrane lipid peroxidation, the protein content, the photosynthetic pigment content variation and the inhibition of thallus growth of the seaweed Ulva rigida under environmentally relevant Bisphenol A concentrations.
DOI: 10.17632/ns58dfwm8c.1
title: Biochemical reactions of the seaweed Ulva rigida in response to effect od Bispenol A

description: Dataset involving the investigation of ROS production-related phenomena and biochemical reactions, and specifically the activation of the enzymatic antioxidant mechanism of SOD and APX to scavenge ROS, the membrane lipid peroxidation, the protein content, the photosynthetic pigment content variation and the inhibition of thallus growth of the seaweed Ulva rigida under environmentally relevant Bisphenol A concentrations.
DOI: 10.17632/5z9mh38zhx
title: Database of Raman measurements of hydrous silicate glasses

description: This is a database of all of the hydrous silicate glass measured via Raman spectroscopy using the Cornell University (E.Gazel's lab) Witec Alpha 300R to create external and internal calibrations to quantify H2O in silicate glasses. This database also includes test measurements of melt inclusions from different volcanic systems. All Raman measurements were taken with a 473-nm excitation source. 

File names format retains metadata information, such as:
1. Objective magnification (50x or 100x)
2. Laser power (1 mW, 5 mW, 10 mW, 16 mW)
3. Integration times (30s)
4. Accumulations (repetitions; 10, 20)
5. spectral processing (CRR- cosmic ray removal) 
6. Repeated measurements (_X)

We have also included an abridged folder ('Test Dataset for Code').
DOI: 10.17632/yzygw533zx.1
title: Nanoparticles hijack calvarial immune cells for CNS drug delivery and stroke therapy

description: Preclinical therapeutic efficacy data including TTC staining, MRI analysis and behavioral assessment, and clinical data including NIHSS score. This dataset includes all raw data to reproduce the panels related to preclinical or clinical assessments.
DOI: 10.5281/zenodo.18275107
title: Eragrostis airoides Nees. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.17632/5z9mh38zhx.1
title: Database of Raman measurements of hydrous silicate glasses

description: This is a database of all of the hydrous silicate glass measured via Raman spectroscopy using the Cornell University (E.Gazel's lab) Witec Alpha 300R to create external and internal calibrations to quantify H2O in silicate glasses. This database also includes test measurements of melt inclusions from different volcanic systems. All Raman measurements were taken with a 473-nm excitation source. 

File names format retains metadata information, such as:
1. Objective magnification (50x or 100x)
2. Laser power (1 mW, 5 mW, 10 mW, 16 mW)
3. Integration times (30s)
4. Accumulations (repetitions; 10, 20)
5. spectral processing (CRR- cosmic ray removal) 
6. Repeated measurements (_X)

We have also included an abridged folder ('Test Dataset for Code').
DOI: 10.5281/zenodo.18275108
title: Eragrostis airoides Nees. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275113
title: Eragrostis bahiensis Schrad. ex Schult. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275112
title: Eragrostis bahiensis Schrad. ex Schult. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.15468/dl.7aq4q3
title: Occurrence Download

description: A dataset containing 16236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Procyon lotor",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16236 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015650-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18275118
title: Eragrostis barrelieri Daveau. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275117
title: Eragrostis barrelieri Daveau. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275121
title: Eragrostis cataclasta. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275120
title: Eragrostis cataclasta. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275124
title: Eragrostis cilianensis (All.) Vignolo ex Janch. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5281/zenodo.18275123
title: Eragrostis cilianensis (All.) Vignolo ex Janch. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:46
DOI: 10.5517/ccdc.csd.cc2qpknn
title: CCDC 2523172: Experimental Crystal Structure Determination

description: Related Article: Luyong Zhang|2026|CSD Communication|||
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.cc2qpm24
title: CCDC 2523216: Experimental Crystal Structure Determination

description: Related Article: Huiqiu Wang|2026|CSD Communication|||
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.cc2qpm35
title: CCDC 2523217: Experimental Crystal Structure Determination

description: Related Article: Huiqiu Wang|2026|CSD Communication|||
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.cc2qpm46
title: CCDC 2523218: Experimental Crystal Structure Determination

description: Related Article: Huiqiu Wang|2026|CSD Communication|||
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.cc2qpmcf
title: CCDC 2523225: Experimental Crystal Structure Determination

description: Related Article: Alison Arissa, Roger Lalancette, Pavel Kucheryavy, Jenny V. Lockard|2026|CSD Communication|||
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.cc2qpmgj
title: CCDC 2523228: Experimental Crystal Structure Determination

description: Related Article: Alison Arissa, Pavel Kucheryavy, Roger Lalancette, Jenny V. Lockard|2026|CSD Communication|||
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.cc2qpmfh
title: CCDC 2523227: Experimental Crystal Structure Determination

description: Related Article: Alison Arissa, Pavel Kucheryavy, Roger Lalancette, Jenny V. Lockard|2026|CSD Communication|||
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.cc2qpnwz
title: CCDC 2523272: Experimental Crystal Structure Determination

description: Related Article: Yiqing Kang|2026|CSD Communication|||
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.cc2qpplq
title: CCDC 2523294: Experimental Crystal Structure Determination

description: Related Article: Varun Tej Raviprolu|2026|CSD Communication|||
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.cc2qppmr
title: CCDC 2523295: Experimental Crystal Structure Determination

description: Related Article: Varun Tej Raviprolu|2026|CSD Communication|||
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: 10.15468/dl.zzjbgr
title: Occurrence Download

description: A dataset containing 101027 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macronectes giganteus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 101027 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015640-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.