cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.auhw8b
title: DEVELOPMENT OF INTEGRATED CHEMICAL AND ENVIRONMENTAL MICROSYSTEMS FOR ROBOTIC ASTROBIOLOGY MISSIONS

description: Two of the primary goals of solar system exploration are to characterize habitable environments and search for signs of life. Addressing these goals on robotic missions requires fully integrated spaceflight instrumentation capable of ingesting samples from the environment and performing automated chemical compositional analysis. Integrated chemical and environmental microsystems capable of delivering this level of mission science have not yet been developed or tested on a spaceflight mission. To address this fundamental science need, we have advanced capillary electrophoresis instrumentation to spaceflight. This analyzer could be incorporated into any of the potential future life detection missions highlighted in the most recent Planetary and Astrobiology Decadal Survey.
DOI: 10.48577/jpl.gy2a2i
title: JWST Observations of Potential Impactor 2024 YR4

description: No abstract available.
DOI: 10.15468/dl.8c23hb
title: Occurrence Download

description: A dataset containing 584 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de mamíferos de las Reservas Distritales de Humedal de Bogotá, D.C."
 ]
}

 The dataset includes 584 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054085-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/eqbt6
title: The icing on the cake. Or is it frosting? The influence of group membership on children’s lexical choices
DOI: 10.5281/zenodo.17936954
title: Data repository for "Large circuit execution for NMR spectroscopy simulation on NISQ quantum hardware"

description: With the latest advances in quantum computing technology, we are gradually moving from thenoisy intermediate-scale quantum (NISQ) era characterized by hardware limited in the numberof qubits and plagued with quantum noise, to the age of quantum utility where both the newesthardware and software methods allow for tackling problems which have been deemed difficult orintractable with conventional classical methods. One of these difficult problems is the simulationof one-dimensional (1D) nuclear magnetic resonance (NMR) spectra, a major tool to learn aboutthe structure of molecules, helping the design of new materials or drugs. Using advanced errormitigation and error suppression techniques from Q-CTRL together with the latest commerciallyavailable superconducting-qubit quantum computer from IBM and trapped-ion quantum computerfrom IonQ, we present the quantum Hamiltonian simulation of liquid-state 1D NMR spectra in thehigh-field regime for spin systems up to 34 spins. Our pipeline has a major impact on the ability toexecute deep quantum circuits with the reduction of quantum noise, improving mean square errorby a factor of 22. It allows for the execution of deep quantum circuits and obtaining salient featuresof the 1D NMR spectra for both 16-spin and 22-spin systems, as well as a 34-spin system, whichlies beyond the regime where unrestricted full Liouvillespace simulations are practical (32 spins, theLiouville limit). Our work is a step toward near-term quantum utility in NMR spectroscopy.

The presented datasets are all the data needed to replicate the spectra from "Large circuit execution for NMR spectroscopy simulation on NISQ quantum hardware".
DOI: 10.5281/zenodo.17936955
title: Data repository for "Large circuit execution for NMR spectroscopy simulation on NISQ quantum hardware"

description: With the latest advances in quantum computing technology, we are gradually moving from thenoisy intermediate-scale quantum (NISQ) era characterized by hardware limited in the numberof qubits and plagued with quantum noise, to the age of quantum utility where both the newesthardware and software methods allow for tackling problems which have been deemed difficult orintractable with conventional classical methods. One of these difficult problems is the simulationof one-dimensional (1D) nuclear magnetic resonance (NMR) spectra, a major tool to learn aboutthe structure of molecules, helping the design of new materials or drugs. Using advanced errormitigation and error suppression techniques from Q-CTRL together with the latest commerciallyavailable superconducting-qubit quantum computer from IBM and trapped-ion quantum computerfrom IonQ, we present the quantum Hamiltonian simulation of liquid-state 1D NMR spectra in thehigh-field regime for spin systems up to 34 spins. Our pipeline has a major impact on the ability toexecute deep quantum circuits with the reduction of quantum noise, improving mean square errorby a factor of 22. It allows for the execution of deep quantum circuits and obtaining salient featuresof the 1D NMR spectra for both 16-spin and 22-spin systems, as well as a 34-spin system, whichlies beyond the regime where unrestricted full Liouvillespace simulations are practical (32 spins, theLiouville limit). Our work is a step toward near-term quantum utility in NMR spectroscopy.

The presented datasets are all the data needed to replicate the spectra from "Large circuit execution for NMR spectroscopy simulation on NISQ quantum hardware".
DOI: 10.5281/zenodo.17945259
title: Data for "Size-Consistent Adiabatic Connection Functionals via Orbital-Based Matrix Interpolation"

description: This repository contains the data computed in the paper "Size-Consistent Adiabatic Connection Functionals via Orbital-Based Matrix Interpolation" (https://arxiv.org/abs/2511.01961). It can be used along with the correpsonding Github reposities (https://github.com/kylebystrom/mp2-variants and https://github.com/kylebystrom/osmi_2025_scripts) to analyze and reproduce the data in this work. D4_TERMS, DFT, ISI, MODISI, MP2, and RMP2 contain the results of quantum chemistry calculations on subsets of the GMTKN55 database. NOFREEZE contains additional calculations on subsets of that data with correlated core electrons. BDC contains bond dissociation curve data for different simple systems with several quantum chemistry methods, and UEG contains computed correlation energy estimates of the uniform electron gas with variants of second-order peturbation theory. COMPILED_RESULTS.yaml and RESULTS_W4-11.yaml contain compiled results for some of the calculations, which can be used for reproducing figures in the paper and performing further analysis. See the paper and associated Github repositories for further details.
DOI: 10.5281/zenodo.17945260
title: Data for "Size-Consistent Adiabatic Connection Functionals via Orbital-Based Matrix Interpolation"

description: This repository contains the data computed in the paper "Size-Consistent Adiabatic Connection Functionals via Orbital-Based Matrix Interpolation" (https://arxiv.org/abs/2511.01961). It can be used along with the correpsonding Github reposities (https://github.com/kylebystrom/mp2-variants and https://github.com/kylebystrom/osmi_2025_scripts) to analyze and reproduce the data in this work. D4_TERMS, DFT, ISI, MODISI, MP2, and RMP2 contain the results of quantum chemistry calculations on subsets of the GMTKN55 database. NOFREEZE contains additional calculations on subsets of that data with correlated core electrons. BDC contains bond dissociation curve data for different simple systems with several quantum chemistry methods, and UEG contains computed correlation energy estimates of the uniform electron gas with variants of second-order peturbation theory. COMPILED_RESULTS.yaml and RESULTS_W4-11.yaml contain compiled results for some of the calculations, which can be used for reproducing figures in the paper and performing further analysis. See the paper and associated Github repositories for further details.
DOI: 10.34740/kaggle/dsv/14169407
title: Berita UNDIP
DOI: 10.15468/dl.3s3zfv
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Globotruncana cretacea"
 ]
}

 The dataset includes 45 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054086-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26186/150796
title: WEST10MV Fremantle Southeast Indian Ridge Hobart Bathymetry 1995 (1274/19950001S)

description: The WEST10MV bathymetry survey was acquired by the Oregon State University onboard the Scripps Institution of Oceanography (UC/SIO) Research Vessel Melville from the 29 January to 12 March 1995 using the Seabeam 2000 sonar system. 
The bathymetry dataset was acquired while the Research Vessel Melville was transiting from Frematle to Southeast Indian Ridge to Hobart. 
This dataset contains the 8-210m resolution, 32-bit geotiffs of the WEST10MV survey produced from the processed SeaBeam system using the CARIS HIPS and SIPS software. 
Appropriate acknowledgment must be given to both the original scientists (Christie, David) (http://www.marine-geo.org/tools/search/entry.php?id=WEST10MV#datasets) and to the Marine Geoscience Data System (www.marine-geo.org).

Not to be used for navigational purposes
DOI: 10.26186/150795
title: KN145L4 Perth Canyon Bathymetry 1994 (1179/19940008S)

description: The KN145L4 bathymetry survey was acquired by the Woods Hole Oceanographic Institution onboard the Woods Hole Oceanographic Institution (WHOI) Research Vessel Knorr from the 19 November to 22 November 1994 using the SeaBeam 2112 sonar system. The bathymetry dataset was acquired while the Research Vessel Knorr was surveying the Perth Canyon in Australia. 

This dataset contains the 128-210m resolution, 32-bit geotiffs of the KN145L4 survey produced from the processed SeaBeam system using the CARIS HIPS and SIPS software. 

Appropriate acknowledgment must be given to both the Dr. (Purdy, G. M.) (http://www.marine-geo.org/tools/search/entry.php?id=KN145L4#datasets) and to the Marine Geoscience Data System (www.marine-geo.org).

Not to be used for navigational purposes
DOI: 10.15468/dl.djkdm9
title: Occurrence Download

description: A dataset containing 844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Plantae of Costa Rica (INBio), Birda - Global Observation Dataset, Observation.org, Nature data from around the World, Xeno-canto - Bird sounds from around the world, Tropicos MO Specimen Data, UCR - University of California, Riverside Herbarium - Vascular Plants, Pl@ntNet observations, Tropicos Specimens Non-MO)",
 "Geometry POLYGON((-84.52541 10.14212,-84.52047 10.1441,-84.51082 10.15583,-84.51268 10.16589,-84.51892 10.18078,-84.52497 10.18525,-84.53045 10.18692,-84.54312 10.19065,-84.55223 10.18881,-84.56565 10.18807,-84.57076 10.18062,-84.57 10.17374,-84.56962 10.16518,-84.567 10.15775,-84.56492 10.14565,-84.55282 10.14026,-84.53788 10.13653,-84.52541 10.14212))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 844 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054087-251120083545085/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/14169425
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17605/osf.io/vsnr7
title: Life satisfaction among Chinese young adults

description: Life satisfaction among Chinese young adults
DOI: 10.15468/dl.vzuus3
title: Occurrence Download

description: A dataset containing 19876 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asterocampa clyton"
 ]
}

 The dataset includes 19876 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054088-251120083545085/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/14169433
title: Berita UNNES
DOI: 10.15468/dl.uzyu3e
title: Occurrence Download

description: A dataset containing 36295923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 36295923 records from 506 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054084-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30887978
title: Data for Analysis of Uncertainty-Driven Thermal Histories in Fused Filament Fabrication under Material and Process Variability

description: This dataset contains experimental temperature measurements and a corresponding variability model for layer-by-layer material deposition. The data support the analysis of thermal fluctuations across layers and their representation in a mapped temperature field for finite element simulations.
DOI: 10.6084/m9.figshare.30887978.v2
title: Data for Analysis of Uncertainty-Driven Thermal Histories in Fused Filament Fabrication under Material and Process Variability

description: This dataset contains experimental temperature measurements and a corresponding variability model for layer-by-layer material deposition. The data support the analysis of thermal fluctuations across layers and their representation in a mapped temperature field for finite element simulations.
DOI: 10.6084/m9.figshare.30887978.v1
title: Data for Analysis of Uncertainty-Driven Thermal Histories in Fused Filament Fabrication under Material and Process Variability

description: This dataset contains experimental temperature measurements and a corresponding variability model for layer-by-layer material deposition. The data support the analysis of thermal fluctuations across layers and their representation in a mapped temperature field for finite element simulations.
DOI: 10.17605/osf.io/ur53e
title: Ultrasound tomography enhancement by signal feature extraction with modular machine learning method - Dataset

description: This dataset was prepared as part of the development work of industrial tomography. The goal of the project was to develop a robust and reliable method for detecting objects using ultrasonic tomography. The key idea was to analyze the time-dependent ultrasonic signals recorded by three independent transducers of an experimental system with an emphasis on finding common or related features of these signals using custom deep neural network models.
DOI: 10.15468/dl.hd9ada
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Aves de la expedición al municipio de San Francisco, Cundinamarca - Caracterizaciones Humboldt"
 ]
}

 The dataset includes 192 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054089-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/u5my6
title: RO test set

description: The sample data sets generated from real organoids
DOI: 10.17605/osf.io/692xw
title: Putting a human in the loop: Increasing uptake, but decreasing accuracy of automated decision-making

description: Dataset and experimental instructions for https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4285645
DOI: 10.5281/zenodo.17945269
title: Extended vocal folds / glottis dataset

description: This dataset contains original Fehling et al. Dataset extended with BAGLS dataset. It is a combined, sorted and unified to 256x256 resolution train/val/test split set of img-mask pairs, ready to use for segmentation.

More information:

https://github.com/plakhotin/segmentation-of-vocal-folds-on-bagls
DOI: 10.5281/zenodo.17945270
title: Extended vocal folds / glottis dataset

description: This dataset contains original Fehling et al. Dataset extended with BAGLS dataset. It is a combined, sorted and unified to 256x256 resolution train/val/test split set of img-mask pairs, ready to use for segmentation.

More information:

https://github.com/plakhotin/segmentation-of-vocal-folds-on-bagls
DOI: 10.5281/zenodo.17717186
title: Dataset for 'Two-beam Multiparticle Many-body simulations of Inhomogeneous FFI'
DOI: 10.5281/zenodo.17717187
title: Dataset for 'Two-beam Multiparticle Many-body simulations of Inhomogeneous FFI'
DOI: 10.15468/dl.8cktv4
title: Occurrence Download

description: A dataset containing 121569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Tropicos MO Specimen Data, Plantae of Costa Rica (INBio), herbario, Birda - Global Observation Dataset)",
 "Geometry POLYGON((-84.52111 10.13989,-84.50901 10.15307,-84.51031 10.16881,-84.51895 10.18071,-84.53018 10.1956,-84.54487 10.2075,-84.58246 10.2092,-84.59542 10.199,-84.60103 10.18369,-84.60363 10.1637,-84.59153 10.14627,-84.57122 10.13734,-84.54833 10.13564,-84.52111 10.13989))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 121569 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054081-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14626611
title: Images&PointClouds Cultural Heritage Dataset

description: The dataset comprises five heritage buildings, providing two types of data for each scene: photogrammetric images with corresponding intrinsic and extrinsic parameters, and the related point cloud. Annotated ground truth is available for both data types, ensuring high-quality training and validation resources. This dataset is particularly designed to support the training, validation, and testing of machine learning models. Its primary focus is to facilitate the automation of three-dimensional and informative model generation through semantic segmentation techniques. The multi-source nature of the dataset makes it highly versatile. It can be used to implement point-based and multi-view-based approaches, compare their performance on the same data source, and develop innovative hybrid networks that integrate both images and point clouds. The dataset adheres to the classification standards of ARCHdataset, defining the following classes: ‘arch’ (0), ‘column’ (1), ‘moulding’ (2), ‘floor’ (3), ‘door/window’ (4), ‘wall’ (5), ‘stair’ (6), ‘vault’ (7), ‘roof’ (8), and ‘other’ (9).

 

For more detailed information and to cite this dataset, please refer to:

Pellis, E., Masiero, A., Betti, M., Tucci, G., Grussenmeyer G. (2025). A photogrammetric image-point dataset for the semantic segmentation of heritage building. Data in Brief, Vol. 60. https:// doi.org/10.1016/j.dib.2025.111661.
DOI: 10.5281/zenodo.14626610
title: Images&PointClouds Cultural Heritage Dataset

description: The dataset comprises five heritage buildings, providing two types of data for each scene: photogrammetric images with corresponding intrinsic and extrinsic parameters, and the related point cloud. Annotated ground truth is available for both data types, ensuring high-quality training and validation resources. This dataset is particularly designed to support the training, validation, and testing of machine learning models. Its primary focus is to facilitate the automation of three-dimensional and informative model generation through semantic segmentation techniques. The multi-source nature of the dataset makes it highly versatile. It can be used to implement point-based and multi-view-based approaches, compare their performance on the same data source, and develop innovative hybrid networks that integrate both images and point clouds. The dataset adheres to the classification standards of ARCHdataset, defining the following classes: ‘arch’ (0), ‘column’ (1), ‘moulding’ (2), ‘floor’ (3), ‘door/window’ (4), ‘wall’ (5), ‘stair’ (6), ‘vault’ (7), ‘roof’ (8), and ‘other’ (9).

 

For more detailed information and to cite this dataset, please refer to:

Pellis, E., Masiero, A., Betti, M., Tucci, G., Grussenmeyer G. (2025). A photogrammetric image-point dataset for the semantic segmentation of heritage building. Data in Brief, Vol. 60. https:// doi.org/10.1016/j.dib.2025.111661.
DOI: 10.15468/dl.c3x8cv
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidocyclina yurnagunensis"
 ]
}

 The dataset includes 169 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054092-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/azj28
title: Anthropometric Data Analysis

description: THE WHO ANTHRO DATA ANALYSER

The Anthro Data Analyzer is an online tool developed by the Department of Nutrition for Health and Development of the World Health Organization (WHO), which allows users to perform comprehensive analysis of anthropometric Data for children under five years of age based on weight and height. 
The analyses are based on the WHO Child Growth Standards.

This online tool is designed to build country capacity on data analysis and reporting on child malnutrition outcomes. It aims to enhance good practice in Data collection, Data analysis, and reporting results.

Data quality assessment report template with results from WHO Anthro Survey Analyser
Analysis date: 2022-08-20 17:59:56
Link:https://worldhealthorg.shinyapps.io/anthro/
This report is a template that includes key data quality checks that can help to identify issues with the data and considerations when interpreting results. 
Other outputs that can be relevant to your analyses can be saved directly from the tool interactive dashboards and added to the report.
For guidance on how to interpret the results, user should refer to the document “Recommendations for improving the quality of anthropometric data and its analysis and reporting” by the Working Group on Anthropometric Data Quality, for the WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring (TEAM). 
The document is available at www.who.int/nutrition/team, under “Technical reports and papers”.
Recommended citation:
Report template with results from WHO Anthro Survey Analyser
Analysis date: 2022-08-20 18:00:40
Link:https://worldhealthorg.shinyapps.io/anthro/
DOI: 10.17605/osf.io/kc9u8
title: Dietary risk-factors on cardiovascular deaths by age and sex in 1990-2019 in 46 WHO European countries

description: The data show the development of the influence of single dietary risks on cardiovascular deaths in 46 European countries in the period between 1990 and 2019.