cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17043896
title: Bio-chemical data from Southern Black Sea, December 2022

description: The dataset contains hydrophysical data collected in Southern Black Sea withing the Turkish EEZ in December 2022 in framework of the R/V Bilim-2 cruise supported by EU-funded BRIDGE-BS project.

Discrete water samples were taken with Niskin bottles (12 L capacity) at depths, that were selected according to water density profiles. The CTD rosette with Niskin bottles was kept for at least 2 minutes at each sampling depth. In addition, the surface sampling was performed every 30 minutes during ROTV towing operations done at speed ~3.5 knots. The samples were further analyzed in the wet lab onboard for dissolved oxygen (by Winkler) and pH (by pH meter), and in METU-IMS lab for nutrients (by autoanalyzer) and chlorophyl parameters (by spectrometry). The data file in ODV format contains data from 100 stations on the following parameters: Dissolved Oxygen (Winkler), NH4, NO2-N, NO3-N+NO2-N, TN, PO4, TP, Si, TSS, Total Chl-a, Active Chl-a, Phaeophytin, pH, Secchi disk.
DOI: 10.15468/dl.jney9n
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données du Groupement d’Intérêt Scientifique pour les Mammifères Marins de Méditerranée et leur environnement (GIS3M) - Observation Cétacés du projet Grand Dauphin Étude et Gestion en Méditerranée"
 ]
}

 The dataset includes 220 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028737-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqr9bq
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zenia insignis",
 "Year 1970-2025"
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028741-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnqbkg
title: Occurrence Download

description: A dataset containing 566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platycladus orientalis",
 "Year 1970-2025"
 ]
}

 The dataset includes 566 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028738-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/3e38d87d-9ad5-481f-91e6-48545a36f457
title: Data underlying the publication: Spatial Dynamics of Incoming Movers and the State-led Gentrification Process

description: This repository contains exported output and the code processing scripts necessary to reproduce the analysis in Spatial Dynamics of incoming movers and the state-led gentrification process by Kyri Janssen, Clémentine Cottineau, Reinout Kleinhans and Ellen van Bueren. The purpose of this dataset was to gain quantitative insights in in the origin and locations of individuals and households moving in and within Rotterdam.Note: The authors do not have permission to share data. However, under certain conditions, these data are accessible for statistical and scientific research. For further information: [microdata@cbs.nl]
DOI: 10.4121/3e38d87d-9ad5-481f-91e6-48545a36f457.v1
title: Data underlying the publication: Spatial Dynamics of Incoming Movers and the State-led Gentrification Process

description: This repository contains exported output and the code processing scripts necessary to reproduce the analysis in Spatial Dynamics of incoming movers and the state-led gentrification process by Kyri Janssen, Clémentine Cottineau, Reinout Kleinhans and Ellen van Bueren. The purpose of this dataset was to gain quantitative insights in in the origin and locations of individuals and households moving in and within Rotterdam.Note: The authors do not have permission to share data. However, under certain conditions, these data are accessible for statistical and scientific research. For further information: [microdata@cbs.nl]
DOI: 10.15468/dl.wes78r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Suthora brunnea",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028743-250920141307145/datasets/export for details.
DOI: 10.15468/dl.g2eg6j
title: Occurrence Download

description: A dataset containing 12978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus glauca"
 ]
}

 The dataset includes 12978 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028742-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rk5q6t
title: Occurrence Download

description: A dataset containing 12811851 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Waarnemingen.be - Bird occurrences in Flanders and the Brussels Capital Region, Belgium"
 ]
}

 The dataset includes 12811851 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028702-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17213242
title: Dataset of Publication : Distributionally robust control for chance-constrained signal temporal logic specifications

description: Matlab code for the following paper:  title=Distributionally robust control for chance-constrained signal temporal logic specifications,  authors=Kordabad, Arash Bahari and Vlahakis, Eleftherios E and Lindemann, Lars and Dimarogonas, Dimos V and Soudjani, Sadegh,  Conference=2024 IEEE 63rd Conference on Decision and Control (CDC),  pages=1593--1598,  year=2024,  organization=IEEE.
DOI: 10.5281/zenodo.17213241
title: Dataset of Publication : Distributionally robust control for chance-constrained signal temporal logic specifications

description: Matlab code for the following paper:  title=Distributionally robust control for chance-constrained signal temporal logic specifications,  authors=Kordabad, Arash Bahari and Vlahakis, Eleftherios E and Lindemann, Lars and Dimarogonas, Dimos V and Soudjani, Sadegh,  Conference=2024 IEEE 63rd Conference on Decision and Control (CDC),  pages=1593--1598,  year=2024,  organization=IEEE.
DOI: 10.15468/dl.efpyey
title: Occurrence Download

description: A dataset listing the 7607 species recorded in GBIF matching the query:
{
 "and" : [
 "HostingOrganizationKey is 62431bdf-fa0c-452b-afce-be14884a47ff",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 7607 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028728-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17213173
title: Dataset of Publication : Control barrier functions for stochastic systems under signal temporal logic tasks

description: Matlab code and data for the following paper:  title=Control barrier functions for stochastic systems under signal temporal logic tasks,  authors=Kordabad, Arash Bahari and Charitidou, Maria and Dimarogonas, Dimos V and Soudjani, Sadegh,  Conference=2024 European Control Conference (ECC),  pages=3213--3219,  year=2024,  organization=IEEE.
DOI: 10.5281/zenodo.17213174
title: Dataset of Publication : Control barrier functions for stochastic systems under signal temporal logic tasks

description: Matlab code and data for the following paper:  title=Control barrier functions for stochastic systems under signal temporal logic tasks,  authors=Kordabad, Arash Bahari and Charitidou, Maria and Dimarogonas, Dimos V and Soudjani, Sadegh,  Conference=2024 European Control Conference (ECC),  pages=3213--3219,  year=2024,  organization=IEEE.
DOI: 10.5281/zenodo.17209887
title: Data-Driven Abstractions via Binary-Tree Gaussian Processes for Formal Verification (Simulation Data)

description: Simulation data for the experiments in "Data-Driven Abstractions via Binary-Tree Gaussian Processes for Formal Verification"
DOI: 10.5281/zenodo.17209888
title: Data-Driven Abstractions via Binary-Tree Gaussian Processes for Formal Verification (Simulation Data)

description: Simulation data for the experiments in "Data-Driven Abstractions via Binary-Tree Gaussian Processes for Formal Verification"
DOI: 10.5281/zenodo.17044060
title: Bio-chemical data from Southern Black Sea, June 2023

description: The dataset contains bio-chemical data collected in Southern Black Sea withing the Turkish EEZ in June 2023 in framework of the R/V Bilim-2 cruise supported by EU-funded BRIDGE-BS project.

Discrete water samples were taken with Niskin bottles (12 L capacity) at depths, that were selected according to water density profiles. The CTD rosette with Niskin bottles was kept for at least 2 minutes at each sampling depth. In addition, the surface sampling was performed every 30 minutes during ROTV towing operations done at speed ~3.5 knots. The samples were further analyzed in the wet lab onboard for dissolved oxygen (by Winkler) and pH (by pH meter), and in METU-IMS lab for nutrients (by autoanalyzer) and chlorophyl parameters (by spectrometry). The data file in ODV format contains data from 120 stations on the following parameters: Dissolved Oxygen (Winkler), H2S, NH4, NO2-N, NO3-N+NO2-N, TN, PO4, TP, Si, POC, PON, TSS, Total Chl-a, Active Chl-a, Phaeophytin, pH, Secchi disk.
DOI: 10.5281/zenodo.17044059
title: Bio-chemical data from Southern Black Sea, June 2023

description: The dataset contains bio-chemical data collected in Southern Black Sea withing the Turkish EEZ in June 2023 in framework of the R/V Bilim-2 cruise supported by EU-funded BRIDGE-BS project.

Discrete water samples were taken with Niskin bottles (12 L capacity) at depths, that were selected according to water density profiles. The CTD rosette with Niskin bottles was kept for at least 2 minutes at each sampling depth. In addition, the surface sampling was performed every 30 minutes during ROTV towing operations done at speed ~3.5 knots. The samples were further analyzed in the wet lab onboard for dissolved oxygen (by Winkler) and pH (by pH meter), and in METU-IMS lab for nutrients (by autoanalyzer) and chlorophyl parameters (by spectrometry). The data file in ODV format contains data from 120 stations on the following parameters: Dissolved Oxygen (Winkler), H2S, NH4, NO2-N, NO3-N+NO2-N, TN, PO4, TP, Si, POC, PON, TSS, Total Chl-a, Active Chl-a, Phaeophytin, pH, Secchi disk.
DOI: 10.5281/zenodo.17209842
title: Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings (Simulation Data)

description: Simulation data for the experiments in "Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings"
DOI: 10.5281/zenodo.17209841
title: Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings (Simulation Data)

description: Simulation data for the experiments in "Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings"
DOI: 10.5281/zenodo.17208605
title: Dataset on the mechanical behavior of rotary-cut veneer from European beech under tensile, compressive, and shear loading

description: This dataset was created as part of the joint research project “Material and technology development for flame-retardant veneer-basalt fiber composites (HoBaCo)”. As part of the project, a composite material made of beech veneer and basalt fiber fabric was developed, which is bonded or impregnated with a bio-based phenolic resin. For material development, all mechanical parameters of the individual components (veneer) were determined under two different climatic conditions.

The dataset contains a total of 402 data files within 20 test series for tensile, compressive, and shear tests on 2.5 mm thick rotary cut veneer from European beech (Fagus Sylvatica L.). The following parameters were varied within the test series:



force direction: parallel to fiber direction, perpendicular to fiber direction (only for tension and compression)

veneer surface coating: without (native) and coated with PF-resin (120 g/m²; coated on both sides)

test conditions: 50% relative humidity and 85% relative humidity at 20 °C


The data files are located in the “01_Data” directory with categorized subdirectories. Each data file contains a header with descriptions of the following test parameters:



wood species

test type

test conditions



 force direction

 measuring field length

 measuring field width

 temperature

 relative humidity

 testing speed



specimen properties



 surface coating

 specimen length

 specimen width

 specimen thickness

 density

 moisture content




and followed by the measured stress-strain data with the following columns:



stress_MPa: stress in force direction, tension and shear with positive sign, compression with negative sign

stain: strain in force direction

transverse strain: strain perpendicular to force direction, only for tension and compression


The “02_Results” directory contains two files with evaluated mechanical properties per test (results.csv) and as mean values per test series (results_mean.csv). The evaluated parameters are:



modulus_MPa: Young’s modulus for tension and compression, shear modulus for shear test

poisson: Poisson’s ratio, only for tension and compression

ultimate_stress_MPa: maximum stress at failure

ultimate_strain: strain at failure


 

A data paper describing the test methods used to determine the experimental data related to this repository is being submitted for publication.
description: This research was supported by the research project “Material and technology development for flame-retardant veneer-basalt fiber composites (HoBaCo)”, funded by the German Federal Ministry of Food and Agriculture (funding reference 22005118). The project was a joint project of the following research partners: Leibniz-Institut für Polymerforschung Dresden e. V., TUD Dresden University of Technology, Fraunhofer Institut für Angewandte Polymerforschung IAP, Deutsche Basaltfaser GmbH and EBF Dresden GmbH.
DOI: 10.5281/zenodo.17208606
title: Dataset on the mechanical behavior of rotary-cut veneer from European beech under tensile, compressive, and shear loading

description: This dataset was created as part of the joint research project “Material and technology development for flame-retardant veneer-basalt fiber composites (HoBaCo)”. As part of the project, a composite material made of beech veneer and basalt fiber fabric was developed, which is bonded or impregnated with a bio-based phenolic resin. For material development, all mechanical parameters of the individual components (veneer) were determined under two different climatic conditions.

The dataset contains a total of 402 data files within 20 test series for tensile, compressive, and shear tests on 2.5 mm thick rotary cut veneer from European beech (Fagus Sylvatica L.). The following parameters were varied within the test series:



force direction: parallel to fiber direction, perpendicular to fiber direction (only for tension and compression)

veneer surface coating: without (native) and coated with PF-resin (120 g/m²; coated on both sides)

test conditions: 50% relative humidity and 85% relative humidity at 20 °C


The data files are located in the “01_Data” directory with categorized subdirectories. Each data file contains a header with descriptions of the following test parameters:



wood species

test type

test conditions



 force direction

 measuring field length

 measuring field width

 temperature

 relative humidity

 testing speed



specimen properties



 surface coating

 specimen length

 specimen width

 specimen thickness

 density

 moisture content




and followed by the measured stress-strain data with the following columns:



stress_MPa: stress in force direction, tension and shear with positive sign, compression with negative sign

stain: strain in force direction

transverse strain: strain perpendicular to force direction, only for tension and compression


The “02_Results” directory contains two files with evaluated mechanical properties per test (results.csv) and as mean values per test series (results_mean.csv). The evaluated parameters are:



modulus_MPa: Young’s modulus for tension and compression, shear modulus for shear test

poisson: Poisson’s ratio, only for tension and compression

ultimate_stress_MPa: maximum stress at failure

ultimate_strain: strain at failure


 

A data paper describing the test methods used to determine the experimental data related to this repository is being submitted for publication.
description: This research was supported by the research project “Material and technology development for flame-retardant veneer-basalt fiber composites (HoBaCo)”, funded by the German Federal Ministry of Food and Agriculture (funding reference 22005118). The project was a joint project of the following research partners: Leibniz-Institut für Polymerforschung Dresden e. V., TUD Dresden University of Technology, Fraunhofer Institut für Angewandte Polymerforschung IAP, Deutsche Basaltfaser GmbH and EBF Dresden GmbH.
DOI: 10.15468/dl.7aamme
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Campanula raddeana)"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028744-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17209514
title: Bayesian Formal Synthesis of Unknown Systems via Robust Simulation Relations (Simulation Data)

description: Simulation data for the experiments in "Bayesian Formal Synthesis of Unknown Systems via Robust Simulation Relations"
DOI: 10.5281/zenodo.17209515
title: Bayesian Formal Synthesis of Unknown Systems via Robust Simulation Relations (Simulation Data)

description: Simulation data for the experiments in "Bayesian Formal Synthesis of Unknown Systems via Robust Simulation Relations"
DOI: 10.21227/0t3v-0v90
title: "Power quality disturbance waveform-1D-data and model"

description: "This repository contains:A simulated Power Quality Disturbance (PQD) database1D multi-label classification code implementations using ResNet, MobileNet, and DenseNet in Keras, with pretrained model files provided for reproducibility.Coming soon: We will release our proposed PQD classification model in PyTorch after the acceptance of our submitted manuscript."
DOI: 10.15468/dl.6uf57e
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vincetoxicum hirundinaria",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028746-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4qv3t
title: Occurrence Download

description: A dataset containing 37132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lysichiton americanus)",
 "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 37132 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028745-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmvtsk
title: Occurrence Download

description: A dataset containing 517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tectaria subtriphylla",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 517 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028747-250920141307145/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/13205567
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.4121/65174478-e69c-400b-ab41-a2f897ceb407
title: Data underlying the study on Reinforcing Prediction of Atomic Energy Level Transitions with Optimized PINN-Bi-LSTM

description: Accurate prediction of atomic energy level transitions is essential for advancements in quantum spectroscopy, quantum device optimization, and atomic dynamics research. Traditional methods often encounter challenges such as high computational cost or limited physical interpretability. To overcome these limitations, the Physics-Informed Bi-LSTM (PINN-Bi-LSTM) model was proposed. This framework integrates Bidirectional Long Short-Term Memory (Bi-LSTM) networks with Physics-Informed Neural Networks (PINNs). The Bi-LSTM component captures temporal patterns in atomic state evolution from time-series data (e.g., spectral emission records), while the PINN component enforces quantum mechanical constraints (e.g., energy conservation, transition probability rules) through a physics-based loss term. The model was validated using both synthetic and experimental datasets and compared against benchmark methods, including ab initio simulations, standalone Bi-LSTMs, and LSTM–ARIMA hybrids. Results demonstrated that the PINN-Bi-LSTM model achieved superior accuracy (0.92), lower mean squared error (0.01), and stronger generalizability to complex systems (e.g., multi-electron atoms, dynamically perturbed states) compared to conventional approaches. Furthermore, the model maintained robust performance in noisy or sparse datasets, attributed to its dual emphasis on data efficiency and physical rigor. This work advances quantum state prediction by unifying temporal modeling capabilities with fundamental physics, offering applications in real-time spectroscopy and quantum device optimization.