cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15547536
title: Biosynthetic gene clusters present in cyanobacterial strains E5.1 and H7-2

description: These are the outputs of biosynthetic gene cluster (BGC) detection from antiSMASH v8.0 (https://antismash.secondarymetabolites.org/) on novel strains Coleofasciculus caryii H7-2 and Aliterella bergstromii E5.1.
DOI: 10.5281/zenodo.15547537
title: Biosynthetic gene clusters present in cyanobacterial strains E5.1 and H7-2

description: These are the outputs of biosynthetic gene cluster (BGC) detection from antiSMASH v8.0 (https://antismash.secondarymetabolites.org/) on novel strains Coleofasciculus caryii H7-2 and Aliterella bergstromii E5.1.
DOI: 10.5281/zenodo.15590552
title: Unusual Plastoquinones in Non-Phototrophic Nitrifying Bacteria

description: UHPLC-HRMS analysis of N. inopinata (O2301018) and N. moscoviensis (O2301017)
DOI: 10.5281/zenodo.15590553
title: Unusual Plastoquinones in Non-Phototrophic Nitrifying Bacteria

description: UHPLC-HRMS analysis of N. inopinata (O2301018) and N. moscoviensis (O2301017)
DOI: 10.15468/dl.x46zg4
title: Occurrence Download

description: A dataset containing 47747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anacridium aegyptium (Linnaeus, 1764), Deraeocoris flavilinea (A.Costa, 1862))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON (( -30 25 , 40 25 , 40 78 , -30 78 , -30 25 ))"
 ]
}

 The dataset includes 47747 records from 583 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019779-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15591486
title: Extracted V/Cr as a redox proxy for seasonal hypoxia: Insights from the Changjiang Estuary

description: To obtain more detailed information of redox sensitive elememts on seasonal hypoxic events, and to explore whether these signals left in surface sediments can be preserved during sediment burial, the V and Cr in surface sediments off the Changjiang Estuary and different layers of a sediment core collected in southern hypoxia hot spot off the estuary are sequentially extracted, targeting exchangeable, carbonate-bound, Fe and Mn oxide-bound, organic and sulfide-bound, and residual fractions. The contents of different fractions of V and Cr used in our study are presented in the uploaded dataset.
DOI: 10.21227/enzj-nd96
title: "UAV-LADIS dataset"

description: "A custom dataset\u2014UAV-LADIS\u2014comprising both an aerial image dataset and a 3D occlusion scenario dataset. The image dataset was captured using a DJI Mini 3 drone over urban and suburban areas in Shanghai, China. It consists of 10 video sequences at a resolution of 1920\u00d71080, recorded at a flight altitude of 90 meters. The captured scenes feature large-scale low-texture regions (e.g., rooftops, asphalt roads) and complex occlusions caused by roadside vegetation and urban infrastructures. The 3D occlusion scenario dataset primarily targets occlusions induced by roadside-trees and bridges, encompassing a total of 212 synthetic occluded scenes. Specifically, 57 bridge models were collected to construct occlusion scenarios involving bridges. Additionally, 31 roadside-tree models were acquired and procedurally combined using SketchUp (SU) software to synthesize 155 tree-based occlusion scenes. These occlusion scenarios were rendered and voxelized using the open-source software Blender to generate top-down depth maps and their corresponding 3D voxel grids. The UAV-LADIS dataset is publicly available at: \\url{https:\/\/github.com\/Qianwei-SHU\/UAV-LADIS}."
DOI: 10.5281/zenodo.15591643
title: Adjusted Global Mean Surface Temperature anomaly

description: GMST (global mean surface temperature anomaly) from five well-knownand widely pulicized data sources, for January 1880 through December 2024,and their adjusted versions. Data are adjusted for el Nino, volcanic aerosols,and solar variationsOriginal data sources are NASA (NASA GIStemp v4), NOAA (NOAA GlobalTemp v6.0.0),HadCRU (HadCRUT5 from the Hadley Centre/Climate Research Unit),Berk (Berkeley Earth Surface Temperature project), and ERA5 (from CopernicusClimate Service).

Data are offset by a constant so that the average un-adjustedvalue from 1991 through 2020 equals 0.88 degreeC, so that values represent approximate warming since pre-industrial.

# Data fields:#     time        time (years)#     NASA        NASA GISTemp v4 (°C)#     NASA.adj    adjusted NASA data (°C)#     NOAA        NOAA GlobalTemp v6.0.0 (°C)#     NOAA.adj    adjusted NOAA data (°C)#     HadCRU      HadCRUT5 (°C)#     HadCRU.adj  adjusted HadCRU data (°C)#     Berk        Berkeley temperature (°C)#     Berk.adj    adjusted Berkeley data (°C)#     ERA5        ERA5 from Copernicus Climate Change Service (°C)#     ERA5.adj    adjusted ERA5 data (°C)
DOI: 10.5281/zenodo.15591644
title: Adjusted Global Mean Surface Temperature anomaly

description: GMST (global mean surface temperature anomaly) from five well-knownand widely pulicized data sources, for January 1880 through December 2024,and their adjusted versions. Data are adjusted for el Nino, volcanic aerosols,and solar variationsOriginal data sources are NASA (NASA GIStemp v4), NOAA (NOAA GlobalTemp v6.0.0),HadCRU (HadCRUT5 from the Hadley Centre/Climate Research Unit),Berk (Berkeley Earth Surface Temperature project), and ERA5 (from CopernicusClimate Service).

Data are offset by a constant so that the average un-adjustedvalue from 1991 through 2020 equals 0.88 degreeC, so that values represent approximate warming since pre-industrial.

# Data fields:#     time        time (years)#     NASA        NASA GISTemp v4 (°C)#     NASA.adj    adjusted NASA data (°C)#     NOAA        NOAA GlobalTemp v6.0.0 (°C)#     NOAA.adj    adjusted NOAA data (°C)#     HadCRU      HadCRUT5 (°C)#     HadCRU.adj  adjusted HadCRU data (°C)#     Berk        Berkeley temperature (°C)#     Berk.adj    adjusted Berkeley data (°C)#     ERA5        ERA5 from Copernicus Climate Change Service (°C)#     ERA5.adj    adjusted ERA5 data (°C)
DOI: 10.57745/1vnbm6
title: README.txt

description: :unav
DOI: 10.57745/5vzfsr
title: H1236_T292_only_pdbs_MassiveFold.tar.gz

description: :unav
DOI: 10.57745/binbnl
title: gather_runs.py

description: :unav
DOI: 10.57745/bp7ysa
title: H1236_T292_combined_scores.tab

description: :unav
DOI: 10.57745/coszpv
title: H1236_T292_MassiveFold.tar.gz
DOI: 10.57745/ecqw4s
title: T292_CAPRI_scoring.pdb.gz

description: :unav
DOI: 10.57745/foglvj
title: T292_CAPRI_assessment.tab

description: :unav
DOI: 10.57745/ofllxn
title: T292_CAPRI_assessment.tab

description: :unav
DOI: 10.57745/rw6o38
title: LICENSE

description: :unav
DOI: 10.57745/xcj3uo
title: MassiveFold_CASP16_Abstract.pdf

description: :unav
DOI: 10.57745/zafuw9
title: H1236_T292_combined_scores.tab

description: :unav
DOI: 10.5258/soton/d3347
title: Dataset for thesis: Understanding Project Managers' behaviour when using Artificial Intelligence for project control

description: This dataset supports the University of Southampton thesis, 'Understanding Project Managers' behaviour when using Artificial Intelligence for project control'. It comprises:
- Read me file with instructions to data
- Systematic literature review data
- Qualitative interview data
- Qualitative coding process
- Interview participant consent form
DOI: 10.5281/zenodo.13285030
title: Cadenza Challenge ICASSP 2024 (ICASSP24): Submission audio samples for the ICASSP 2024 Cadenza Grand Challenge - Baseline systems

description: Cadenza

This is the baseline submission data for the ICASSP 2024 Cadenza Grand Challenge (ICASSP24).

The Cadenza Challenges are improving music production and processing for people with a hearing loss. According to The World Health Organization, 430 million people worldwide have a disabling hearing loss. Studies show that not being able to understand lyrics is an important problem to tackle for those with hearing loss. Consequently, this task is about improving the intelligibility of lyrics when listening to pop/rock over headphones. But this needs to be done without losing too much audio quality - you can't improve intelligibility just by turning off the rest of the band! We will be using one metric for intelligibility and another metric for audio quality, and giving you different targets to explore the balance between these metrics.

Please see the Cadenza website for a full description of the data
description: This dataset contains the baselines submission audio signals for the ICASSP24 challenge. The signals correspond to 10-second consecutive segments of the MUSDB18-HQ test split.  The signals were processed according the ICASSP24 requirements. Please refer to the Cadenza challenge website and to the paper for details.

Description of files:



submission_T001.zip: package containing the audio signals of Baseline 1

submission_T002.zip: package containing the audio signals of Baseline 2

gains.json:  Json file with all posible gain combinations.

head_loudspeaker_positions.json: Json file with the different combination of head rotations

listeners.test.json: Json file with the listeners audiograms

scenes.test.json: Json file with the scenes descriptions

scene_listeners.test.json: Json file with the list of listeners to process per scene

musdb18.test.json: Json file with the description of the MUSDB18-HQ test split

HAAQI_scores.zip: ZIP file containing one CSV per Team with HAAQI scores


The audio signals are organised as:

enhanced_signals/scene_<Scene_ID>_<Listener_ID>_remix.flac

where:



Scene_ID:  is the unique id to identify each scene.

Listener_ID:  53 unique ids to identify each listener.
description: Cite as:

G. Roa-Dabike, M. A. Akeroyd, S. Bannister, J. P. Barker, T. J. Cox, B. Fazenda, J. Firth, S. Graetzer, A. Greasley, R. R. Vos and W. M. Whitmer, "The First Cadenza Challenges: Using Machine Learning Competitions to Improve Music for Listeners With a Hearing Loss," in IEEE Open Journal of Signal Processing.
description: This repository only includes the submission samples for both baselines. If you need access to the submission samples for all submissions, please contact us at cadenzachallengecontact@gmail.com.

All submissions description:



19 packages (including baselines)

A total size of 384 GB (including baselines)

19,200 signals per team
DOI: 10.5281/zenodo.13285031
title: Cadenza Challenge ICASSP 2024 (ICASSP24): Submission audio samples for the ICASSP 2024 Cadenza Grand Challenge - Baseline systems

description: Cadenza

This is the baseline submission data for the ICASSP 2024 Cadenza Grand Challenge (ICASSP24).

The Cadenza Challenges are improving music production and processing for people with a hearing loss. According to The World Health Organization, 430 million people worldwide have a disabling hearing loss. Studies show that not being able to understand lyrics is an important problem to tackle for those with hearing loss. Consequently, this task is about improving the intelligibility of lyrics when listening to pop/rock over headphones. But this needs to be done without losing too much audio quality - you can't improve intelligibility just by turning off the rest of the band! We will be using one metric for intelligibility and another metric for audio quality, and giving you different targets to explore the balance between these metrics.

Please see the Cadenza website for a full description of the data
description: This dataset contains the baselines submission audio signals for the ICASSP24 challenge. The signals correspond to 10-second consecutive segments of the MUSDB18-HQ test split.  The signals were processed according the ICASSP24 requirements. Please refer to the Cadenza challenge website and to the paper for details.

Description of files:



submission_T001.zip: package containing the audio signals of Baseline 1

submission_T002.zip: package containing the audio signals of Baseline 2

gains.json:  Json file with all posible gain combinations.

head_loudspeaker_positions.json: Json file with the different combination of head rotations

listeners.test.json: Json file with the listeners audiograms

scenes.test.json: Json file with the scenes descriptions

scene_listeners.test.json: Json file with the list of listeners to process per scene

musdb18.test.json: Json file with the description of the MUSDB18-HQ test split

HAAQI_scores.zip: ZIP file containing one CSV per Team with HAAQI scores


The audio signals are organised as:

enhanced_signals/scene_<Scene_ID>_<Listener_ID>_remix.flac

where:



Scene_ID:  is the unique id to identify each scene.

Listener_ID:  53 unique ids to identify each listener.
description: Cite as:

G. Roa-Dabike, M. A. Akeroyd, S. Bannister, J. P. Barker, T. J. Cox, B. Fazenda, J. Firth, S. Graetzer, A. Greasley, R. R. Vos and W. M. Whitmer, "The First Cadenza Challenges: Using Machine Learning Competitions to Improve Music for Listeners With a Hearing Loss," in IEEE Open Journal of Signal Processing.
description: This repository only includes the submission samples for both baselines. If you need access to the submission samples for all submissions, please contact us at cadenzachallengecontact@gmail.com.

All submissions description:



19 packages (including baselines)

A total size of 384 GB (including baselines)

19,200 signals per team
DOI: 10.15468/dl.mkwq9t
title: Occurrence Download

description: A dataset containing 77523398 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "License is CC-BY 4.0",
 "Year 2014-2017"
 ]
}

 The dataset includes 77523398 records from 8935 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019770-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/mq7r-5n19
title: "PCFR"

description: "Federated recommendation systems"
DOI: 10.15468/dl.8fafh9
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saracha ferruginea (Sodiro & Damm.)"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022173-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7359vu
title: Occurrence Download

description: A dataset containing 1578960 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((31.43485 12.66024,43.288 12.66024,43.288 29.58972,31.43485 29.58972,31.43485 12.66024))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2000-2025"
 ]
}

 The dataset includes 1578960 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025343-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.13325196
title: PhotIQA: A photoacoustic image data set with image quality ratings

description: To support the development and testing of full- and no-reference IQA measures we assembled PhotIQA, a data set consisting of 1134 photoacoustic (PA) images reconstructed with 3 different algorithms and ratings by 2 experts across five quality properties (overall quality, edge visibility, homogeneity, inclusion and background intensity). To allow full-reference assessment, highly characterised imaging test objects were used, providing a ground truth. A detailed description of the data set can be found in [1], where also baseline experiments give first insights. 

 

We have decided to make the data set available to the research community under the Creative Commons Attribution 4.0 International license. If you use the data in your research, we kindly ask that you reference the repository and the corresponding paper

 



[1] A. Breger, J.Gröhl, C. Karner, T.R. Else, I. Selby, J. Weir-McCall, C.-B. Schönlieb: PhotIQA: A photoacoustic image data set with image quality ratings, preprint on arXiv: http://arxiv.org/abs/2507.03478, July 2025

 

Update v2.0 (July 7): quality ratings of more properties are available now, including edge visibility, object homogeneity, intensity (background), intensity (inclusions), overall quality

 

Update v2.1 (August 20): the z-scores of the raters have been added and updated for mos
DOI: 10.5281/zenodo.16903690
title: PhotIQA: A photoacoustic image data set with image quality ratings

description: To support the development and testing of full- and no-reference IQA measures we assembled PhotIQA, a data set consisting of 1134 photoacoustic (PA) images reconstructed with 3 different algorithms and ratings by 2 experts across five quality properties (overall quality, edge visibility, homogeneity, inclusion and background intensity). To allow full-reference assessment, highly characterised imaging test objects were used, providing a ground truth. A detailed description of the data set can be found in [1], where also baseline experiments give first insights. 

 

We have decided to make the data set available to the research community under the Creative Commons Attribution 4.0 International license. If you use the data in your research, we kindly ask that you reference the repository and the corresponding paper

 



[1] A. Breger, J.Gröhl, C. Karner, T.R. Else, I. Selby, J. Weir-McCall, C.-B. Schönlieb: PhotIQA: A photoacoustic image data set with image quality ratings, preprint on arXiv: http://arxiv.org/abs/2507.03478, July 2025

 

Update v2.0 (July 7): quality ratings of more properties are available now, including edge visibility, object homogeneity, intensity (background), intensity (inclusions), overall quality

 

Update v2.1 (August 20): the z-scores of the raters have been added and updated for mos
DOI: 10.15468/dl.bqdnpv
title: Occurrence Download

description: A dataset containing 1502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Virola surinamensis (Rol. ex Rottb.) Warb."
 ]
}

 The dataset includes 1502 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022472-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22qr2c
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micropterus salmoides (Lacepède, 1802)",
 "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 174 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022290-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4kbcy
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapanhuacanga laricoides (Mart. & Zucc.) P.L.R.Moraes"
 ]
}

 The dataset includes 105 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022292-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15601032
title: Data and Codes for the paper "Amplifying effect of multiyear La Niña on phytoplankton biomass in the tropical Pacific"
DOI: 10.15468/dl.neqmaz
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atherinomorus forskalii",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 131 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000301-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cz3qg
title: Occurrence Download

description: A dataset containing 7434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Pinus taeda L.",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 {
 "not" : {
 "DatasetKey" : [
 "is Catalogue of Life"
 ]
 }
 }
 ]
}

 The dataset includes 7434 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000232-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dt8zzq
title: Occurrence Download

description: A dataset containing 8805 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acinonyx jubatus (Schreber, 1775)"
 ]
}

 The dataset includes 8805 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020482-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy29mb
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goeppertia crocata (É.Morren & Joriss.) Borchs. & S.Suárez"
 ]
}

 The dataset includes 159 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020481-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/gdesji
title: HVTN703/HPTN081 + HVTN704/HPTN085 AMP Trials Primary Results
title: Two Randomized Trials of Neutralizing Antibodies to Prevent HIV-1 Acquisition

description: This dataset contains frozen data, as of 29 May 2020.
DOI: 10.5281/zenodo.15594313
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604p Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604p Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15594314
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250604p Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250604p Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.tn6y6v
title: Occurrence Download

description: A dataset containing 533 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Goeppertia cylindrica (Roscoe) Borchs. & S.Suárez"
 ]
}

 The dataset includes 533 records from 85 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020483-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.