cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18473013
title: eStonefish-Scenes: A Sim-to-Real Validated and Robot-Centric Event-based Optical Flow Dataset for Underwater Vehicles (Real)

description: A real-world validation dataset collected to evaluate the sim-to-real transfer capabilities of event-based optical flow algorithms trained on synthetic data, more specifically, the synthetic eStonefish-Scenes dataset. Acquired in a controlled underwater environment, it offers a rigorous benchmark for assessing algorithm performance under real sensing conditions.

Experimental Setup & Features



Platform: Data was collected using a BlueROV2 equipped with a DAVIS346 event camera.

Environment: The ROV navigated over a large, high-resolution textured poster placed on the floor of the CIRS indoor testing pool in Girona, Spain.

Motion: The dataset includes diverse 6-DOF motion patterns, including translation and rotation, to capture complex flow dynamics.

Ground Truth & Uncertainty: Unlike standard datasets that rely on external motion capture or LiDAR, this real dataset derives ground truth optical flow via homography-based frame-to-poster registration.

Uncertainty Estimation: A unique feature of this dataset is the inclusion of per-pixel uncertainty maps. These are generated via Monte Carlo perturbations of keypoint correspondences, allowing for reliability-aware evaluation metrics that account for registration noise and camera calibration limits.


Usage

This dataset is compatible with the eWiz library, which provides specific tools for loading the data, visualizing the uncertainty maps, and computing uncertainty-weighted error metrics (AEE and AAE).



Library Repository: https://github.com/CIRS-Girona/ewiz


Inquiries & Support

For any questions regarding the eStonefish-Scenes dataset, or the real-world validation data, or the data generation pipeline, please contact the corresponding author:



Jad Mansour | Email: jad.mansour@udg.edu


We hope that this work encourages the community to dive deeper into event-based underwater perception, preferably with fewer leaks in the pipeline and more flow in the right direction!
DOI: 10.5281/zenodo.18473012
title: eStonefish-Scenes: A Sim-to-Real Validated and Robot-Centric Event-based Optical Flow Dataset for Underwater Vehicles (Real)

description: A real-world validation dataset collected to evaluate the sim-to-real transfer capabilities of event-based optical flow algorithms trained on synthetic data, more specifically, the synthetic eStonefish-Scenes dataset. Acquired in a controlled underwater environment, it offers a rigorous benchmark for assessing algorithm performance under real sensing conditions.

Experimental Setup & Features



Platform: Data was collected using a BlueROV2 equipped with a DAVIS346 event camera.

Environment: The ROV navigated over a large, high-resolution textured poster placed on the floor of the CIRS indoor testing pool in Girona, Spain.

Motion: The dataset includes diverse 6-DOF motion patterns, including translation and rotation, to capture complex flow dynamics.

Ground Truth & Uncertainty: Unlike standard datasets that rely on external motion capture or LiDAR, this real dataset derives ground truth optical flow via homography-based frame-to-poster registration.

Uncertainty Estimation: A unique feature of this dataset is the inclusion of per-pixel uncertainty maps. These are generated via Monte Carlo perturbations of keypoint correspondences, allowing for reliability-aware evaluation metrics that account for registration noise and camera calibration limits.


Usage

This dataset is compatible with the eWiz library, which provides specific tools for loading the data, visualizing the uncertainty maps, and computing uncertainty-weighted error metrics (AEE and AAE).



Library Repository: https://github.com/CIRS-Girona/ewiz


Inquiries & Support

For any questions regarding the eStonefish-Scenes dataset, or the real-world validation data, or the data generation pipeline, please contact the corresponding author:



Jad Mansour | Email: jad.mansour@udg.edu


We hope that this work encourages the community to dive deeper into event-based underwater perception, preferably with fewer leaks in the pipeline and more flow in the right direction!
DOI: 10.5517/ccdc.csd.cc1q7k2l
title: CCDC 1586179: Experimental Crystal Structure Determination

description: Related Article: Xiaosheng Yan, Jinlian Cao, Huan Luo, Zhao Li, Zexing Cao, Yirong Mo, Yun-Bao Jiang |2024|Nat.Commun.|15|9271|doi:10.1038/s41467-024-53744-x
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/ccdc.csd.cc2kd1df
title: CCDC 2365064: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd1fg
title: CCDC 2365065: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd1gh
title: CCDC 2365066: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd1lm
title: CCDC 2365070: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd1hj
title: CCDC 2365067: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd0dd
title: CCDC 2365033: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd202
title: CCDC 2365083: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd1kl
title: CCDC 2365069: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd4pt
title: CCDC 2365166: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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/ccdc.csd.cc2kd4qv
title: CCDC 2365167: Experimental Crystal Structure Determination

description: Related Article: Soheil Mahmoudi, Tim Gruene, Christian Schröder, Khalil D. Ferjaoui, Erik Fröjdh, Aldo Mozzanica, Kiyofumi Takaba, Anatoliy Volkov, Julian Maisriml, Vladimir Paunović, Jeroen A. van Bokhoven, Bernhard K. Keppler |2025|Nature (London)|645|88|doi:10.1038/s41586-025-09405-0
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.18472637
title: SuperDARN data in netCDF format (2010-Oct)

description: 2010-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6570615
title: SuperDARN data in netCDF format (2010-Oct)

description: 2010-Oct SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.1594/pangaea.922764
title: Pollen record of a sediment core from the Neualbenreuth Maar, Germany

description: The Neualbenreuth Maar (49°58' N, 12°28' E, 601 m asl) is a filled up former maar lake, located within a presently swampy depression 2.5 km ESE of the village Neualbenreuth (NE-Bavaria, Germany). It represents one of four hitherto known volcanic structures of Pleistocene age along the NNW-SSE trending Tachov fault zone. The maar structure was detected by gravity surveys and was subsequently confirmed by the recovery of lake sediments by an exploratory drilling campaign in 2015. Within the scope of a pilot study, a set of 141 pollen samples collected from sediment depths between 17.7 to 96.0 m below the recent surface. The samples were analyzed in order to evaluate the potential of the sequence for detailed palaeoenvironmental investigations, and to estimate the age of the sedimentary record.The pollen analyses from the Neualbenreuth Maar sediments reveal a continuous record of vegetation and climate changes encompassing four interglacial stages and five cold periods. The dominance of cold and dry tolerant herbs and the sparse representation trees and shrubs during most parts of the sequence indicates open landscapes of steppe to woody-steppe character typically of late Middle and Late Pleistocene glacial periods in Central Europe. The pollen assemblages of the warm stage in the upper part of the core clearly support its correlation with the Eemian interglacial (MIS 5e). The three pre-Eemian warm stages represent terrestrial analogues of the marine isotope stages (MIS) 7e, 7c, and 7a within the Saalian glacial period.In Central Europe, which was strongly affected by glacial and periglacial processes during the major Middle and Late Pleistocene cold periods, palaeoecological evidence of the Saalian complex of alternating warm and cold stages is ambiguous so far. The Neualbenreuth record provides the first biostratigraphical sequence from this region covering MIS 8 to 5 without notable depositional gaps
DOI: 10.15468/dl.3ujv43
title: Occurrence Download

description: A dataset containing 799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Suaeda vera",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 799 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010201-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrr8u6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gymnorhamphichthys bogardusae"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010205-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqxvmu
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Gwaii Haanas Invertebrates (OBIS Canada)",
 "TaxonKey is Pisaster ochraceus"
 ]
}

 The dataset includes 102 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010200-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwrgrv
title: Occurrence Download

description: A dataset containing 4030667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chordata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Geometry POLYGON ((-120.2668 34.82019, -120.1432 34.68484, -120.0301 34.61333, -119.8986 34.56829, -119.8515 34.55977, -119.7408 34.49743, -119.607 34.45778, -119.4654 34.44798, -119.3255 34.46868, -119.251 34.49342, -119.1467 34.43474, -119.0133 34.3944, -118.8719 34.38387, -118.732 34.40384, -118.6029 34.45298, -118.4934 34.52799, -118.4109 34.62381, -118.3808 34.67988, -118.278 34.7507, -118.195 34.84634, -118.1447 34.95639, -118.1306 35.07338, -118.1673 35.26602, -118.1704 35.29585, -118.1639 35.41325, -118.1948 35.52803, -118.2612 35.63232, -118.3587 35.71898, -118.4806 35.78203, -118.6186 35.81712, -118.667 35.82202, -118.6813 36.03752, -118.7489 36.19644, -118.8297 36.29408, -118.9393 36.37141, -119.0701 36.42309, -119.2132 36.44553, -119.3859 36.43766, -119.5259 36.40495, -119.6504 36.34402, -119.7379 36.28321, -119.8757 36.29752, -120.02 36.28225, -120.1007 36.2592, -120.0584 36.35964, -120.047 36.47673, -120.0637 36.60773, -120.06 36.72513, -120.076 36.85609, -120.1251 36.96675, -120.2085 37.0634, -120.3206 37.13942, -120.3459 37.15165, -120.4821 37.19611, -120.6282 37.21076, -120.7741 37.19457, -120.8952 37.15503, -121.036 37.15629, -121.1787 37.12755, -121.307 37.07017, -121.4121 36.98812, -121.4869 36.88707, -121.5262 36.77396, -121.5436 36.65304, -121.5222 36.53686, -121.4643 36.42907, -121.3739 36.33697, -121.3132 36.29298, -121.2421 36.19052, -121.1408 36.10633, -120.9503 36.01422, -120.811 35.98191, -120.61 35.97881, -120.4693 36.00688, -120.3773 36.04097, -120.419 35.9404, -120.4298 35.82324, -120.4028 35.70781, -120.3755 35.65326, -120.4494 35.56312, -120.4968 35.45215, -120.5074 35.33494, -120.4805 35.21949, -120.4181 35.11364, -120.3408 35.03704, -120.3219 34.92867, -120.2668 34.82019))"
 ]
}

 The dataset includes 4030667 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010060-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r44u69
title: Occurrence Download

description: A dataset containing 573584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ilex aquifolium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 573584 records from 2075 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010144-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/bowpbf83
title: NYT and WebNLG

description: NYT and WebNLG are widely used datasets for relational triple extraction.
DOI: 10.13145/bacdive171648.20241212.9.2
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171648.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171649.20241212.9.2
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171649.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171650.20241212.9.2
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.57702/np4rb8td
title: CASIA gait dataset

description: The dataset used in the paper is the CASIA gait database, which contains 124 individuals (93 males and 31 females). The gait of each subject was captured from 11 viewpoints. Every video is represented by a gait energy image (GEI) of size 32 × 32.
DOI: 10.13145/bacdive171650.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171651.20241212.9.2
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive171651.20251217.10
title: Bacillus cereus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.