cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8uujar
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster watereri",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016597-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4r5da6
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster watereri",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 48 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016598-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5fanh
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gila elegans)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 64 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016599-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2mmrbc
title: CCDC 2432053: Experimental Crystal Structure Determination

description: Related Article: Mingxing Zhu, Xiang-Peng Xie, Suqiang Wang, Xing Xing Zhang, Zhouling Xie, Yajun Duan, Zhiwei Zhao, Chenzhong Liao|2025|Eur.J.Med.Chem.|299|118080|doi:10.1016/j.ejmech.2025.118080
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.u3rwyg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus sanguinea",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016600-250914085247600/datasets/export for details.
DOI: 10.15468/dl.72f9jf
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus sanguinea",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 110 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016602-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b626pg
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus sanguinea",
 "Country is Estonia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016601-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9c9z8
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Synodontis ornatipinnis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016603-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5wjqq
title: Occurrence Download

description: A dataset containing 2796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus sanguinea",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2796 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016604-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcf3gx
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crataegus sanguinea",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016605-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8879n3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Labeobarbus mirabilis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016606-250914085247600/datasets/export for details.
DOI: 10.15468/dl.5uqewp
title: Occurrence Download

description: A dataset containing 952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 952 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016607-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3v5ctj
title: Occurrence Download

description: A dataset containing 400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 400 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016608-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjnj7t
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Croatia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016609-250914085247600/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/13103133
title: Market Prices of Commodities in South Tangerang
DOI: 10.15468/dl.zh2fue
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sturisoma guentheri)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016610-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3ncwh
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 113 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016611-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68wy8a
title: Occurrence Download

description: A dataset containing 280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 280 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016612-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n79mcs
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016613-250914085247600/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/13103143
title: Booru.org Top Leaderboard
DOI: 10.34683/sr1603
title: StoneRounds Case: SR1603
title: Type 2 Usher Syndrome

description: StoneRounds Case SR1603 was diagnosed with Type 2 Usher Syndrome likely caused by mutations in the gene: USH2A.
DOI: 10.15468/dl.s7a2c4
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 57 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016614-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17155833
title: The Resonance–Stability Framework: Full-Archive Validation and Predictive Accuracy Across the NASA Exoplanet Archive (September 2025)

description: This record presents Version 2 of the Resonance–Stability Framework, validated against the complete NASA Exoplanet Archive (PSCompPars export dated 2025-09-18).

 

The framework introduces a composite stability score:

S = 0.5R + 0.3H + 0.2N

where:

 



R measures resonance proximity between orbital periods,

H quantifies dynamical spacing via mutual Hill stability,

N evaluates no-crossing margins using eccentricity-adjusted peri/apocenter checks.


 

 

 

Key Results

 



Full-Archive Coverage: 38,898 planetary entries, 3,796 multi-planet host systems, and 298,599 planet–planet pairs were analyzed.

NASA Sept-17 Milestone Validation: All 10 milestone host systems (WISPIT, GJ 536, HD 224018, HD 28471, HIP 41378, K2-73, TOI-1438, TOI-2322, TOI-6303, TOI-6330) ranked as high-scoring (S_max ≥ ~0.6).

Reproducibility: This reproduces earlier results from the Aug 31, 2025 snapshot, where the overlapping milestone systems also scored high.

Outcome: Two consecutive validation cycles with 100% agreement demonstrate the predictive accuracy of the framework.


 

 

 

The Resonance–Stability Framework offers:

 



Scalability → Lightweight computation, archive-wide runs (~300k pairs) in a single pass.

Predictive Power → Identifies stable, resonant systems that align with NASA’s active follow-up and recent confirmations.

Utility → Supports JWST, Roman, and ground-based programs in target prioritization, TOI vetting, and as a machine learning feature for system classification.
DOI: 10.5281/zenodo.17155834
title: The Resonance–Stability Framework: Full-Archive Validation and Predictive Accuracy Across the NASA Exoplanet Archive (September 2025)

description: This record presents Version 2 of the Resonance–Stability Framework, validated against the complete NASA Exoplanet Archive (PSCompPars export dated 2025-09-18).

 

The framework introduces a composite stability score:

S = 0.5R + 0.3H + 0.2N

where:

 



R measures resonance proximity between orbital periods,

H quantifies dynamical spacing via mutual Hill stability,

N evaluates no-crossing margins using eccentricity-adjusted peri/apocenter checks.


 

 

 

Key Results

 



Full-Archive Coverage: 38,898 planetary entries, 3,796 multi-planet host systems, and 298,599 planet–planet pairs were analyzed.

NASA Sept-17 Milestone Validation: All 10 milestone host systems (WISPIT, GJ 536, HD 224018, HD 28471, HIP 41378, K2-73, TOI-1438, TOI-2322, TOI-6303, TOI-6330) ranked as high-scoring (S_max ≥ ~0.6).

Reproducibility: This reproduces earlier results from the Aug 31, 2025 snapshot, where the overlapping milestone systems also scored high.

Outcome: Two consecutive validation cycles with 100% agreement demonstrate the predictive accuracy of the framework.


 

 

 

The Resonance–Stability Framework offers:

 



Scalability → Lightweight computation, archive-wide runs (~300k pairs) in a single pass.

Predictive Power → Identifies stable, resonant systems that align with NASA’s active follow-up and recent confirmations.

Utility → Supports JWST, Roman, and ground-based programs in target prioritization, TOI vetting, and as a machine learning feature for system classification.
DOI: 10.15468/dl.wx8dts
title: Occurrence Download

description: A dataset containing 346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 346 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016615-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.89fdby
title: Occurrence Download

description: A dataset containing 1199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1199 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016616-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vu8np
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Diapoma thauma)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016617-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17156194
title: NoisySpeech-CCMix-Industrial v1 (mini)

description: NoisySpeech-CCMix-Industrial v1 (mini) is a compact synthetic noisy-speech benchmark for denoising, robust ASR, and source separation. Clean speech is sourced from LibriSpeech test-clean (CC-BY 4.0). We mix each utterance with algorithmic noises—white, pink, band-limited pink (“bandpink”), machinery-like hum (AM/FM tonal), sparse impacts, and siren—at continuous SNRs in [-8, +15] dB. Some mixtures include multiple noises; exact noise types and mixture weights are recorded. Audio is 16 kHz mono, FLAC. The dataset includes deterministic train/val/test splits and a comprehensive metadata.csv with requested/achieved SNR, noise types, weights, durations, and RMS values.

Intended use: benchmarking speech enhancement and robust ASR under industrial & multi-noise conditions. This “mini” release prioritizes quick download and reproducibility; a larger “full” release is planned.

Attribution & license: This dataset is CC-BY 4.0 due to the LibriSpeech upstream license. Please retain ATTRIBUTION.txt and cite both this dataset’s DOI and the LibriSpeech paper/source.
DOI: 10.5281/zenodo.17156195
title: NoisySpeech-CCMix-Industrial v1 (mini)

description: NoisySpeech-CCMix-Industrial v1 (mini) is a compact synthetic noisy-speech benchmark for denoising, robust ASR, and source separation. Clean speech is sourced from LibriSpeech test-clean (CC-BY 4.0). We mix each utterance with algorithmic noises—white, pink, band-limited pink (“bandpink”), machinery-like hum (AM/FM tonal), sparse impacts, and siren—at continuous SNRs in [-8, +15] dB. Some mixtures include multiple noises; exact noise types and mixture weights are recorded. Audio is 16 kHz mono, FLAC. The dataset includes deterministic train/val/test splits and a comprehensive metadata.csv with requested/achieved SNR, noise types, weights, durations, and RMS values.

Intended use: benchmarking speech enhancement and robust ASR under industrial & multi-noise conditions. This “mini” release prioritizes quick download and reproducibility; a larger “full” release is planned.

Attribution & license: This dataset is CC-BY 4.0 due to the LibriSpeech upstream license. Please retain ATTRIBUTION.txt and cite both this dataset’s DOI and the LibriSpeech paper/source.
DOI: 10.15468/dl.jbf57e
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016618-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15465017
title: Historical weather data since 1980 till 2023
DOI: 10.5281/zenodo.17156215
title: Historical weather data since 1980 till 2023
DOI: 10.15468/dl.rrut7t
title: Occurrence Download

description: A dataset containing 571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasiphora fruticosa",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 571 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016619-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17098295
title: Large-Scale, High-Resolution Urban Pluvial Flood Dataset for training Deep Learning Emulators

description: Flood inundation simulations can help in planning preventive measures against flood damage, howeverconventional simulation methods can be computationally expensive and time-consuming. An alternative tospeed up the calculations is to use data-driven emulators. In this work, we present two contributions: (1)the development of a large-scale, high-resolution flood dataset and (2) the development of deep learning(DL)-based emulators for flood prediction trained using our dataset. We show that in comparison toprevious works, our emulators are able to generalize to previously unseen test locations and achievecomparable performance metrics in terms of RMSE. In comparison to a GPU-accelerated simulator, aninference time speed-up of approximately 1000 times is achieved using these emulators. The dataset andcode is available at https://github.com/dinesh-k-natarajan/urban-flood-emulator/.

Folder structure:

The zip file contains the following contents: 



"city_level_data" folder contains 200 subfolders named after each city in our dataset. Each city subfolder contains two further subfolders:



"dem": Contains the elevation map as (TIFF file) of each city of dimensions 2048 x 2048

"simulations": contains the maximum water depth maps for 5 simulated rainfall events. These are the outputs of the physics-based flood simulator and are the ground truth labels for our deep learning emulators.



"rainfall_events" folder contains the 5 synthetic rainfall events as text files containing the time-series of spatially constant, temporally varying rainfall intensities"

"sets.csv" contains the list of cities and which subset (training/validation/test) they belong to.


Note: The elevation data was obtained from Geobasis NRW at https://www.opengeodata.nrw.de/produkte/geobasis/hm/dom1_tiff/dom1_tiff/

Related work:

For more information, please refer to our paper:

Natarajan, D.K., Stricker, M., Mukherjee, R., Charfuelan, M., Nuske, M., Dengel, A. (2026). Deep Learning Emulators for Large-Scale, High-Resolution Urban Pluvial Flood Prediction. In: Braun, T., Paaßen, B., Stolzenburg, F. (eds) KI 2025: Advances in Artificial Intelligence. KI 2025. Lecture Notes in Computer Science(), vol 15956. Springer, Cham. https://doi.org/10.1007/978-3-032-02813-6_17