cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc10wx82
title: CCDC 950344: Experimental Crystal Structure Determination

description: Related Article: Marco Taddei, Anna Donnadio, Ferdinando Costantino, Riccardo Vivani, Mario Casciola|2013|Inorg.Chem.|52|12131|doi:10.1021/ic4019597
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc10wxc5
title: CCDC 950347: Experimental Crystal Structure Determination

description: Related Article: Yi-Long Wang, Zhu-Jia Shao, Shao-Song Qian|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|471|doi:10.1107/S0108270113007075
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc10wxd6
title: CCDC 950348: Experimental Crystal Structure Determination

description: Related Article: Yi-Long Wang, Zhu-Jia Shao, Shao-Song Qian|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|471|doi:10.1107/S0108270113007075
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc10wxf7
title: CCDC 950349: Experimental Crystal Structure Determination

description: Related Article: Yue-Feng Zhang, Jian-Ping Ma, Qi-Kui Liu,  Yu-Bin Dong|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|476|doi:10.1107/S0108270113006471
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc10wxg8
title: CCDC 950350: Experimental Crystal Structure Determination

description: Related Article: Yue-Feng Zhang, Jian-Ping Ma, Qi-Kui Liu,  Yu-Bin Dong|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|476|doi:10.1107/S0108270113006471
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc10wxh9
title: CCDC 950351: Experimental Crystal Structure Determination

description: Related Article: Ernesto Mesto,  Fernando Scordari,  Maria Lacalamita,  Luisa De Cola,  Roberta Ragni, Gianluca Maria Farinola|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|480|doi:10.1107/S010827011300663X
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: 10.5281/zenodo.15470143
title: Tuni2025 Datasets for GNSS Spoofing

description: Tuni2025 Datasets for GNSS  - Galileo Spoofing 
Selected Scenarios are a curated subset of high-resolution GNSS spoofing measurement data recorded in a controlled laboratory environment at Tampere University, Finland. The dataset supports research in spoofing detection, RF signal analysis, and GNSS receiver security.

 

Each scenario contains:

 

A raw I/Q measurement file (approx. 30 GB, interleaved 32-bit float format)

 

A scenario-specific README file documenting signal setup, spoofing conditions, and usage notes

 

This release includes 8 Galileo E1 signal scenarios, covering both spoofed and authentic (clear-sky) cases, true spoofer position attacks, and varying numbers of spoofers. The data was collected using a USRP-2945R software-defined radio front-end at 50 MSps sampling rate, with spoofing signals generated using a Spectracom GSG-6 GNSS simulator where applicable.

 

📁 Included Scenarios

 

C-1 Galileo Static No Multipath True Position – Clear-sky (no spoofers)     - Version-v1SS-1 Galileo Static No Multipath True Position – 1 Spoofer                         - Version-v2SS-3 Galileo Static No Multipath True Position – 3 Spoofers                       - Version-v3SS-5 Galileo Static No Multipath True Position – 5 Spoofers                       - Version-v11C-3 Galileo Static No Multipath True Position – Clear-sky (no spoofers)     - Version-v13SS-11 Galileo Static Multipath True Position – 1 Spoofer                             - Version-v7SS-12 Galileo Static Multipath True Position – 2 Spoofers                           - Version-v8SS-13 Galileo Static Multipath True Position – 4 Spoofers                           - Version-v9

 

🔬 Intended Use

 

This dataset is intended for use in:

 

GNSS spoofing detection research and algorithm development

 

RF fingerprinting and signal classification

 

GNSS receiver performance benchmarking

 

Machine learning and statistical analysis of spoofed GNSS signals

 

🛰️ Signal Type

 

Galileo E1 only

 

🛠️ Equipment Used

 

USRP-2945R software-defined radio front-end

 

Spectracom GSG-6 GNSS signal simulator (used in spoofing scenarios only)

 

📂 File Format

 

.bin: Raw I/Q measurement (interleaved 32-bit float)

.pdf: Scenario-specific README file

 

 

📚 Citation

 

If using this dataset, please cite this:

 

🔄 Additional Data

 

Other scenarios and dataset extensions (e.g., multipath, dynamic spoofing, false position) may be provided upon request by the authors.
DOI: 10.15468/dl.x6xj87
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bitis xeropaga"
 ]
}

 The dataset includes 79 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049169-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rybvsj
title: Occurrence Download

description: A dataset containing 822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Imperator rhodopurpureus"
 ]
}

 The dataset includes 822 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049170-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15470142
title: Tuni2025 Datasets for GNSS  - Galileo Spoofing

description: Tuni2025 Datasets for GNSS  - Galileo Spoofing 
Selected Scenarios are a curated subset of high-resolution GNSS spoofing measurement data recorded in a controlled laboratory environment at Tampere University, Finland. The dataset supports research in spoofing detection, RF signal analysis, and GNSS receiver security.

 

Each scenario contains:

 

A raw I/Q measurement file (approx. 30 GB, interleaved 32-bit float format)

 

A scenario-specific README file documenting signal setup, spoofing conditions, and usage notes

 

This release includes 8 Galileo E1 signal scenarios, covering both spoofed and authentic (clear-sky) cases, true spoofer position attacks, and varying numbers of spoofers. The data was collected using a USRP-2945R software-defined radio front-end at 50 MSps sampling rate, with spoofing signals generated using a Spectracom GSG-6 GNSS simulator where applicable.

 

📁 Included Scenarios

 

C-1 Galileo Static No Multipath True Position – Clear-sky (no spoofers)     - Version-v1SS-1 Galileo Static No Multipath True Position – 1 Spoofer                         - Version-v2SS-3 Galileo Static No Multipath True Position – 3 Spoofers                       - Version-v3SS-5 Galileo Static No Multipath True Position – 5 Spoofers                       - Version-v11C-3 Galileo Static No Multipath True Position – Clear-sky (no spoofers)     - Version-v13SS-11 Galileo Static Multipath True Position – 1 Spoofer                             - Version-v7SS-12 Galileo Static Multipath True Position – 2 Spoofers                           - Version-v8SS-13 Galileo Static Multipath True Position – 4 Spoofers                           - Version-v9

 

🔬 Intended Use

 

This dataset is intended for use in:

 

GNSS spoofing detection research and algorithm development

 

RF fingerprinting and signal classification

 

GNSS receiver performance benchmarking

 

Machine learning and statistical analysis of spoofed GNSS signals

 

🛰️ Signal Type

 

Galileo E1 only

 

🛠️ Equipment Used

 

USRP-2945R software-defined radio front-end

 

Spectracom GSG-6 GNSS signal simulator (used in spoofing scenarios only)

 

📂 File Format

 

.bin: Raw I/Q measurement (interleaved 32-bit float)

.pdf: Scenario-specific README file

 

 

📚 Citation

 

If using this dataset, please cite this:

 

🔄 Additional Data

 

Other scenarios and dataset extensions (e.g., multipath, dynamic spoofing, false position) may be provided upon request by the authors.
DOI: 10.15468/dl.tmf4ws
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccoglypta"
 ]
}

 The dataset includes 32 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049171-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvs4ba
title: Occurrence Download

description: A dataset containing 901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erebus macrops"
 ]
}

 The dataset includes 901 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049172-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14360314
title: EMSE Journal -  A Comparative Study on Reward Models for UI Adaptation with Reinforcement Learning - Datasets

description: This dataset contains the data collected for the study described in the manuscript "A Comparative Study on Reward Models for UI Adaptation with Reinforcement Learning" submitted to EMSE Journal. It includes:



Objective Engagement Data: Quantitative measures of user engagement during the study period.

Subjective Engagement and User Satisfaction Data: Responses to post-study surveys assessing participants' perceived engagement and satisfaction.


Researchers can use these data to replicate our analysis or extend the study.
DOI: 10.5281/zenodo.14360313
title: EMSE Journal -  A Comparative Study on Reward Models for UI Adaptation with Reinforcement Learning - Datasets

description: This dataset contains the data collected for the study described in the manuscript "A Comparative Study on Reward Models for UI Adaptation with Reinforcement Learning" submitted to EMSE Journal. It includes:



Objective Engagement Data: Quantitative measures of user engagement during the study period.

Subjective Engagement and User Satisfaction Data: Responses to post-study surveys assessing participants' perceived engagement and satisfaction.


Researchers can use these data to replicate our analysis or extend the study.
DOI: 10.5281/zenodo.7759695
title: Polarization resolved data of (PEA)2PbI4 single crystal

description: This dataset includes reflectivity (folder r) and photoluminescence (folder pl) spectra of a single crystal (PEA)2PbI4 measured as a function of the linear polarization of the detected signal. The measurements are carried out at 6K. The number indicated in the file name corresponds to the angle of the half-wave plated used to rotate the linear polarization.
DOI: 10.5281/zenodo.7759694
title: Polarization resolved data of (PEA)2PbI4 single crystal

description: This dataset includes reflectivity (folder r) and photoluminescence (folder pl) spectra of a single crystal (PEA)2PbI4 measured as a function of the linear polarization of the detected signal. The measurements are carried out at 6K. The number indicated in the file name corresponds to the angle of the half-wave plated used to rotate the linear polarization.
DOI: 10.5281/zenodo.14855559
title: The dataset of the length of the growing season (LOS) over the Inner Mongolian steppe during 1982-2019
DOI: 10.5281/zenodo.14855558
title: The dataset of the length of the growing season (LOS) over the Inner Mongolian steppe during 1982-2019
DOI: 10.5281/zenodo.17374019
title: Seaonally averaged results from CMOMS for paper "Counter-wind currents in the China Shelf Seas: the alongshore ageostrophic trigger and cross-shore geostrophic balance"

description: The mat files in the folder are the seasonally averaged results from CMOMS (China Sea Multi-Scale Ocean Modelling System) used in the manuscript "Counter-wind currents in the China Shelf Seas: the alongshore ageostrophic trigger and cross-shore geostrophic balance" submitted to JGR-Oceans.
DOI: 10.5281/zenodo.17374018
title: Seaonally averaged results from CMOMS for paper "Counter-wind currents in the China Shelf Seas: the alongshore ageostrophic trigger and cross-shore geostrophic balance"

description: The mat files in the folder are the seasonally averaged results from CMOMS (China Sea Multi-Scale Ocean Modelling System) used in the manuscript "Counter-wind currents in the China Shelf Seas: the alongshore ageostrophic trigger and cross-shore geostrophic balance" submitted to JGR-Oceans.
DOI: 10.5281/zenodo.17413210
title: Comprehensive Dataset of Fast-Disintegrating Tablet (FDT) Formulations (2010–2025): APIs, Excipients, and Tablet Properties

description: This dataset provides a comprehensive collection of fast-disintegrating tablet (FDT) formulations published between 2010 and 2025. It includes detailed information on active pharmaceutical ingredients (APIs), excipients (with quantitative amounts in milligrams), and formulation properties such as disintegration time, hardness, friability, and drug content.

It represents an updated and extended version of previous datasets (2010–2020), compiled and standardized to cover all relevant formulations up to 2025. The dataset is independent and suitable for research in formulation design, data-driven modeling, and machine learning for pharmaceutical development.

Each excipient column reports the amount in milligrams (mg) used in a formulation, with 0 indicating that the excipient was not used.
DOI: 10.21227/xd5x-s582
title: "\u201cDeepSignVault: A Comprehensive Offline Signature Image Database for Biometric Authentication and Deep Learning Applications.\u201d"

description: "The DeepSignVault dataset has been developed as a novel offline handwritten signature database to facilitate research in biometric verification, forgery detection, and writer identification. The dataset comprises a total of 2,000 gray-scale signature images collected from 100 individuals across different regions of India, including Uttarakhand, Punjab, and Delhi. Each participant contributed 10 genuine and 10 forged signatures, ensuring balanced representation for training and testing purposes. The signatures were acquired on white sheets using black ink and subsequently scanned at a resolution of 300 dpi to preserve fine stroke details."
DOI: 10.15468/dl.nu5wjs
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Prosopis juliflora"
 ]
}

 The dataset includes 865 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049177-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4545
title: Dumux code for a dual-continuum approach for precipitated salt in porous media

description: &lt;p&gt;This dataset contains the source code to reproduce the numerical simulations presented in Grether et al. A dual-continuum approach for precipitated salt
in porous media: Accounting for coupled transport processes (submitted), Transport in Porous Media, **TODO: add doi after acceptance**. &lt;/p&gt;

&lt;p&gt;The dataset contains code for two new model approaches (coupled-flow and pseudo-flow approach) including transport processes within the salt that precipitated inside a porous medium.&lt;/p&gt;
description: DuMuX, 3.9
description: <strong>Files</strong>

<code>grether2025a-dockerImage.tar</code>: compressed docker image (See <code>README.md</code> for the structure of the code).

Open the image e.g. via
<pre><code class="lang-bash">docker load --input grether2025a-dockerImage.tar
</code></pre>
Run a docker container with the previously loaded image (image name <code>grether2025a-image</code>) and the container name <code>dumux_grether2025a</code>:
<pre><code class="lang-bash">docker run -it --name dumux_grether2025a grether2025a-image
</code></pre>



<code>install_grether2025a.py</code>: installation script to directly (no Docker needed) install the corresponding DuMuX module for the paper as well as all dependent dune and DuMuX modules. (See <code>README.md</code> in this data repository).
<code>README.md</code>: Information about the source repository (folder <i>grether2025a</i> within the docker image)
DOI: 10.17031/68f89163958d0
title: CPR Data request - GrowthRateBivalve - 22/10/2025

description: "All CPR samples.
From January 1958 to December 2021. 
Area 55-60°N by 0-10°W 
All taxa for large zooplankton (68), small zooplankton (53) and phytoplankton (121). 
See guidelines in the archive"
DOI: 10.15468/dl.v2sbhb
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catalogue of Life"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049178-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7762749
title: Dataset for magneto-optical spectroscopy of CsPbBr3-based perovskite nanoplatelets

description: This dataset includes raw photoluminescence and transmission spectra acquired in a pulsed magnetic field. The values of the magnetic field in each acquisition frame of a given pulse are reported in the corresponding *.dat file. In this file, the three columns relate to the value of the field at the beginning of the acquisition, at the end of the acquisition, and to the magnetic field value averaged over the duration of the acquisition frame. For each pulse, identified as sxx, where xx is an integer from, 30 frames are acquired. The PL spectra are identified explicitly by writing PL in the file name. The transmission spectra do not have any explicit mention. The acquisition time of each frame is 2ms. Measurements carried out in the Voigt configuration are performed in the linear polarization basis. 0d indicates that the polarizer is oriented parallel to the magnetic field vector. 90d indicates that the polarizer is oriented perpendicular to the magnetic field vector. The dataset is organized in three main folders, each conteining data for a given thickness of the colloidal nanoplatelets investigated.
DOI: 10.5281/zenodo.7762748
title: Dataset for magneto-optical spectroscopy of CsPbBr3-based perovskite nanoplatelets

description: This dataset includes raw photoluminescence and transmission spectra acquired in a pulsed magnetic field. The values of the magnetic field in each acquisition frame of a given pulse are reported in the corresponding *.dat file. In this file, the three columns relate to the value of the field at the beginning of the acquisition, at the end of the acquisition, and to the magnetic field value averaged over the duration of the acquisition frame. For each pulse, identified as sxx, where xx is an integer from, 30 frames are acquired. The PL spectra are identified explicitly by writing PL in the file name. The transmission spectra do not have any explicit mention. The acquisition time of each frame is 2ms. Measurements carried out in the Voigt configuration are performed in the linear polarization basis. 0d indicates that the polarizer is oriented parallel to the magnetic field vector. 90d indicates that the polarizer is oriented perpendicular to the magnetic field vector. The dataset is organized in three main folders, each conteining data for a given thickness of the colloidal nanoplatelets investigated.
DOI: 10.5517/ccz74my
title: CCDC 900600: Experimental Crystal Structure Determination

description: Related Article: Xiao-Hui Huang|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|483|doi:10.1107/S0108270113008512
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc10wxjb
title: CCDC 950352: Experimental Crystal Structure Determination

description: Related Article: Wen Zhou,  Jian Wang|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|486|doi:10.1107/S0108270113008111
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc10wxkc
title: CCDC 950353: Experimental Crystal Structure Determination

description: Related Article: De-Hong Wu,  Lei Jin|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|491|doi:10.1107/S010827011300930X
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc10wxld
title: CCDC 950354: Experimental Crystal Structure Determination

description: Related Article: Shao-Hua Luo|2013|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|69|494|doi:10.1107/S0108270113010007
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.