cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3xb763
title: Occurrence Download

description: A dataset containing 50292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Procambarus fallax f. virginalis Martin, Dorn, Kawai, van der Heiden & Scholtz, 2010, Orconectes virilis (Hagen, 1870), Ludwigia peploides (Kunth) P.H.Raven, Heracleum sosnowskyi Manden., Heracleum persicum Desf. ex Fisch., C.A.Mey. & Avé-Lall., Cabomba caroliniana A.Gray, Procambarus clarkii (Girard, 1852), Myriophyllum heterophyllum Michx., Lysichiton americanus Hultén & H.St.John, Lagarosiphon major (Ridl.) Moss, Pacifastacus leniusculus (Dana, 1852), Orconectes limosus (Rafinesque, 1817), Myriophyllum aquaticum (Vell.) Verdc., Impatiens glandulifera Royle, Ludwigia grandiflora (Michx.) Greuter & Burdet, Hydrocotyle ranunculoides L.fil., Heracleum mantegazzianum Sommier & Levier, Elodea nuttallii (Planch.) H.St.John)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 50292 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163633-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q43x94
title: Occurrence Download

description: A dataset containing 221133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Festuca guestfalica Boenn. ex Rchb., Festuca ovina L., Festuca valesiaca Schleich. ex Gaudin)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 221133 records from 455 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158694-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be8fs6
title: Occurrence Download

description: A dataset containing 169716 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arabidopsis thaliana (L.) Heynh."
 ]
}

 The dataset includes 169716 records from 718 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041871-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/zfvw-k156
title: "False data injection on a 310-bus 20 kV distribution grid"

description: "This dataset contains the network configuration of a real 310-bus 20 kV active distribution grid. The PV plants operate under the Q-V droop characteristic. In addition, it contains several scenarios with sophisticated false data injection attacks."
DOI: 10.15468/dl.gqhfpd
title: Occurrence Download

description: A dataset containing 125989 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'NI'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 125989 records were derived from 679 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037966-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2qfnz4
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Balaenoptera musculus (Linnaeus, 1758)"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037985-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15646948
title: SMCBenchmark

description: The processed (already converted MIDI/csv files to npy files) but unquantized SMCBenchmark for symbolic music classification.

Paper name (to cite the benchmark)

Jun-You Wang and Li Su, "Improving BERT for symbolic music understanding using token denoising and pianoroll prediction," ISMIR 2025.

Data format

Each dataset contains two files: note list and groundtruth labels. 

For example, 'pm2s_train.npy' is the data list while 'pm2s_train_beatans.npy' is the groundtruth of the dataset (PM2S) for the BP task.

Each data list contains a list of songs; each song contains a list of notes; each note is represented as [onset, offset, MIDI pitch]. Except BP/DbP (where onset and offset times are "pseudo" crotchet beats), all onset and offset times are represented in crotchet beats.

For sequence prediction tasks (SGC/PR/ER), the groundtruth is a list of integer, each indicates the class label of a song; for note-level prediction tasks, the groundtruth is a list of label list; each label in the label list indicates the class label of a note in a song.

Evaluation details

In our implementation, for sequence prediction tasks, the note sequences are segmented to 512-note segments, and the accuracy is computed at the segment level (not the whole song level). This follows the implementation of MidiBERT.

Note that this "512" parameter has nothing to do with the actual max length of the pretrained model (actually, the default setting of the proposed M2BERT has a max note length of 1024).

For cross-validation tasks, the accuracy is computed for each fold; then, we average all folds' accuracies to obtain the final results.

For other evaluation details, please see https://github.com/york135/SMCBenchmark 

Data names




Task
Data files
Groundtruth files


SGC
tagatraum_{train, valid, test}.npy
tagatraum_{train, valid, test}_genreans.npy


BP
pm2s_{train, valid, test}.npy
pm2s_{train, valid, test}_beatans.npy


DbP
pm2s_{train, valid, test}.npy
pm2s_{train, valid, test}_downbeatans.npy


CR


augnet_{train, valid, test}.npy



augnet_{train, valid, test}_chordrootans.npy



LK
augnet_{train, valid, test}.npy
augnet_{train, valid, test}_localkeyans.npy


ME
pop909_{train, valid, test}.npy
pop909_{train, valid, test}_melodyans.npy


VE
pop909_{train, valid, test}.npy
pop909_{train, valid, test}_velocityans.npy


OTC
orch_{train, valid, test}.npy
orch_{train, valid, test}_textureans.npy


PS
pianist8_fold_{0, 1, 2, 3, 4}.npy
pianist8_fold_{0, 1, 2, 3, 4}_composerans.npy


ER
emopia_fold_{0, 1, 2, 3, 4}.npy
emopia_fold_{0, 1, 2, 3, 4}_emotionans.npy


VF
tnua_{train, valid, test}.npy
tnua_{train, valid, test}_violin_allans.npy


MNID
bps_motif_fold_{0, 1, 2, 3, 4}.npy
bps_motif_fold_{0, 1, 2, 3, 4}_mnidans.npy




Please feels free to report any issue by sending e-mail to me (junyouwang135@gmail.com) !
DOI: 10.15468/dl.zkqb73
title: Occurrence Download

description: A dataset containing 9700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "DatasetKey is Observation.org, Nature data from around the World",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2024-2025"
 ]
}

 The dataset includes 9700 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037987-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15646860
title: PeakNetFP time-stretched test dataset

description: PeakNetFP time-stretched test dataset

(c) 2025 Guillem Cortès Sebastià

https://github.com/guillemcortes/peaknetfp

Description

This dataset contains the audio files necessary to reproduce the work in "PeakNetFP: Peak-based Neural Audio Fingerprinting Robust to Extreme Time Stretching" accepted to ISMIR 2025. It contains an augmented version of Test-Query/DB set from the neural-audio-fingerprint dataset (https://ieee-dataport.org/open-access/neural-audio-fingerprint-dataset).

This dataset consists of time-stretched versions of the original queries using a wide range of stretching factors: 1.05, 1.1, 1.2, 1.4, 1.6, 1.8, and 2 that increase the tempo of the song, and it's counterparts reduce the tempo 0.975, 0.95, 0.9, 0.8, 0.7, 0.6, and 0.5. Note that a stretching factor of 2 doubles the tempo while 0.5 halves it.

Dataset contents

query_stretch
├── LICENSE.txt
├── README.md
├── tempo-0_500
├── tempo-0_600
├── tempo-0_700
├── tempo-0_800
├── tempo-0_900
├── tempo-0_950
├── tempo-0_975
├── tempo-1_000
├── tempo-1_050
├── tempo-1_100
├── tempo-1_200
├── tempo-1_400
├── tempo-1_600
├── tempo-1_800
└── tempo-2_000

How to use it

To use this dataset, place the folder query_stretch inside the neural-audio-fp-dataset: neural-audio-fp-dataset/music/test-query-db-500-30s and use the code available in the PeakNetFP GitHub repository: https://github.com/guillemcortes/peaknetfp

License

The data is distributed under the CC BY-SA 4.0 license https://creativecommons.org/licenses/by-sa/4.0/
DOI: 10.5281/zenodo.15646861
title: PeakNetFP time-stretched test dataset

description: PeakNetFP time-stretched test dataset

(c) 2025 Guillem Cortès Sebastià

https://github.com/guillemcortes/peaknetfp

Description

This dataset contains the audio files necessary to reproduce the work in "PeakNetFP: Peak-based Neural Audio Fingerprinting Robust to Extreme Time Stretching" accepted to ISMIR 2025. It contains an augmented version of Test-Query/DB set from the neural-audio-fingerprint dataset (https://ieee-dataport.org/open-access/neural-audio-fingerprint-dataset).

This dataset consists of time-stretched versions of the original queries using a wide range of stretching factors: 1.05, 1.1, 1.2, 1.4, 1.6, 1.8, and 2 that increase the tempo of the song, and it's counterparts reduce the tempo 0.975, 0.95, 0.9, 0.8, 0.7, 0.6, and 0.5. Note that a stretching factor of 2 doubles the tempo while 0.5 halves it.

Dataset contents

query_stretch
├── LICENSE.txt
├── README.md
├── tempo-0_500
├── tempo-0_600
├── tempo-0_700
├── tempo-0_800
├── tempo-0_900
├── tempo-0_950
├── tempo-0_975
├── tempo-1_000
├── tempo-1_050
├── tempo-1_100
├── tempo-1_200
├── tempo-1_400
├── tempo-1_600
├── tempo-1_800
└── tempo-2_000

How to use it

To use this dataset, place the folder query_stretch inside the neural-audio-fp-dataset: neural-audio-fp-dataset/music/test-query-db-500-30s and use the code available in the PeakNetFP GitHub repository: https://github.com/guillemcortes/peaknetfp

License

The data is distributed under the CC BY-SA 4.0 license https://creativecommons.org/licenses/by-sa/4.0/
DOI: 10.15468/dl.nzhuvz
title: Occurrence Download

description: A dataset containing 578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-169.20548 47.77529,-141.67505 47.77529,-141.67505 72.41863,-169.20548 72.41863,-169.20548 47.77529))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Arabidopsis Heynh."
 ]
}

 The dataset includes 578 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037988-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b2ktu5
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chaetodon lunula (Lacepède, 1802)"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037990-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15647253
title: Car Camera Photos

description: Description:

This dataset comprises output photos captured by Car Camera Photos installed in various positions on a car, offering a comprehensive collection of visual data essential for advancing self-driving car technologies. Each camera provides unique perspectives, capturing frames from videos that reflect different angles and positions around the vehicle. This multi-angle approach ensures a rich and varied dataset, covering diverse scenarios encountered on the road. The frames are meticulously annotated to identify and label various objects such as vehicles, pedestrians, traffic signs, lane markings, and other critical elements necessary for the development of accurate and reliable object detection models.

Download Dataset

Designed specifically for object detection tasks, this dataset plays a pivotal role in training and validating the algorithms used in autonomous driving systems. The diversity of the captured scenes includes various weather conditions, times of day, and complex traffic situations, making the dataset robust and versatile. Researchers and developers can leverage this dataset to enhance the perception capabilities of self-driving cars, improving their ability to interpret and navigate real-world environments. By providing detailed annotations and high-quality visual data, this dataset is an invaluable resource for pushing the boundaries of autonomous vehicle technology and ensuring safer, more efficient self-driving solutions.

This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.15647254
title: Car Camera Photos

description: Description:

This dataset comprises output photos captured by Car Camera Photos installed in various positions on a car, offering a comprehensive collection of visual data essential for advancing self-driving car technologies. Each camera provides unique perspectives, capturing frames from videos that reflect different angles and positions around the vehicle. This multi-angle approach ensures a rich and varied dataset, covering diverse scenarios encountered on the road. The frames are meticulously annotated to identify and label various objects such as vehicles, pedestrians, traffic signs, lane markings, and other critical elements necessary for the development of accurate and reliable object detection models.

Download Dataset

Designed specifically for object detection tasks, this dataset plays a pivotal role in training and validating the algorithms used in autonomous driving systems. The diversity of the captured scenes includes various weather conditions, times of day, and complex traffic situations, making the dataset robust and versatile. Researchers and developers can leverage this dataset to enhance the perception capabilities of self-driving cars, improving their ability to interpret and navigate real-world environments. By providing detailed annotations and high-quality visual data, this dataset is an invaluable resource for pushing the boundaries of autonomous vehicle technology and ensuring safer, more efficient self-driving solutions.

This dataset is sourced from Kaggle.
DOI: 10.15468/dl.n9e44y
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphiprion ocellaris Cuvier, 1830",
 "Year 1000-2025"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037991-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xkhk3
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterocles alchata (Linnaeus, 1766)"
 ]
}

 The dataset includes 47 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037996-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urjjxd
title: Occurrence Download

description: A dataset containing 208026 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Country is Croatia"
 ]
}

 The dataset includes 208026 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037979-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnngtf
title: Occurrence Download

description: A dataset containing 2241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Asio flammeus (Pontoppidan, 1763)"
 ]
}

 The dataset includes 2241 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037994-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4ctuc
title: Occurrence Download

description: A dataset containing 4507 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Clamator glandarius (Linnaeus, 1758)"
 ]
}

 The dataset includes 4507 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037997-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f852nh
title: Occurrence Download

description: A dataset containing 691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meles meles (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((6.196289 46.98025, 8.789063 46.98025, 8.789063 47.694973, 6.196289 47.694973, 6.196289 46.98025))",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2000"
 ]
}

 The dataset includes 691 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037998-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dv2v9n
title: Occurrence Download

description: A dataset containing 1934329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Spain",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1934329 records from 698 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037975-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6zqjw
title: Occurrence Download

description: A dataset containing 130307 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amelanchier ovalis Medik.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 130307 records from 570 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037984-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.463x6b
title: Occurrence Download

description: A dataset containing 4490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ziziphus mucronata Willd.",
 "Continent is Africa"
 ]
}

 The dataset includes 4490 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005952-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rv97x7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bathyclarias atribranchus (Greenwood, 1961)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0322355-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhs6xn
title: Occurrence Download

description: A dataset containing 490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "Country is China",
 "GadmGid is CHN.30.16_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 490 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019099-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.