cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15310090
title: TABLE 1 in Systematics of the green lacewing tribe Ankylopterygini Navás, 1910 (Neuroptera: Chrysopidae: Chrysopinae) from China

description: TABLE 1. The distributions of genera and species of Ankylopterygini in the fauna of the world.
Genus/SubgenusWorldPalearctic regionOriental regionAfrotropic regionAustralasia regionNearctic regionChinaEndemic to ChinaAnkylopteryx446201840137Chrysopidia16514000115Chrysopidia1241100084Chrysotropia41300031Tumeochrysa3421160021913Nineta2018000284Tumeochrysa15316000119Parankylopteryx80080000Retipenna156130001411Semachrysa2021703073Signochrysa100802021Total148418826926640
description: Published as part of Wu, Jingyu & Liu, Xingyue, 2024, Systematics of the green lacewing tribe Ankylopterygini Navás, 1910 (Neuroptera: Chrysopidae: Chrysopinae) from China, pp. 150 in Zootaxa 5540 (1) on page 150, DOI: 10.11646/zootaxa.5540.1.1, http://zenodo.org/record/14240496
DOI: 10.5281/zenodo.15310092
title: TABLE 2 in Systematics of the green lacewing tribe Ankylopterygini Navás, 1910 (Neuroptera: Chrysopidae: Chrysopinae) from China

description: TABLE 2. The distributions of genera and species of Ankylopterygini in China.
Genus/SubgenusNortheastern ChinaNorth ChinaCentral ChinaSouth ChinaHengduan Mountain RangeHimalaya Mountain RangeAnkylopteryx0021142Chrysopidia155667Chrysopidia044446Chrysotropia111221Tumeochrysa361199Nineta361051Tumeochrysa000148Retipenna022796Semachrysa012642Signochrysa000200Total41412333126
description: Published as part of Wu, Jingyu & Liu, Xingyue, 2024, Systematics of the green lacewing tribe Ankylopterygini Navás, 1910 (Neuroptera: Chrysopidae: Chrysopinae) from China, pp. 152 in Zootaxa 5540 (1) on page 152, DOI: 10.11646/zootaxa.5540.1.1, http://zenodo.org/record/14240496
DOI: 10.5281/zenodo.15310091
title: TABLE 2 in Systematics of the green lacewing tribe Ankylopterygini Navás, 1910 (Neuroptera: Chrysopidae: Chrysopinae) from China

description: TABLE 2. The distributions of genera and species of Ankylopterygini in China.
Genus/SubgenusNortheastern ChinaNorth ChinaCentral ChinaSouth ChinaHengduan Mountain RangeHimalaya Mountain RangeAnkylopteryx0021142Chrysopidia155667Chrysopidia044446Chrysotropia111221Tumeochrysa361199Nineta361051Tumeochrysa000148Retipenna022796Semachrysa012642Signochrysa000200Total41412333126
description: Published as part of Wu, Jingyu & Liu, Xingyue, 2024, Systematics of the green lacewing tribe Ankylopterygini Navás, 1910 (Neuroptera: Chrysopidae: Chrysopinae) from China, pp. 152 in Zootaxa 5540 (1) on page 152, DOI: 10.11646/zootaxa.5540.1.1, http://zenodo.org/record/14240496
DOI: 10.5281/zenodo.18396806
title: Granular Feedback in Human–AI Interaction: Exploring Trade-offs in Ambient Intelligence (supplementary materials)

description: This repository contains the supplementary materials for the paper:

Granular Feedback in Human–AI Interaction: Exploring Trade-offs in Ambient Intelligence

It includes the following files:



demonstration.mp4 – A video showcasing the execution of the first user study, illustrating participant interaction with OCE within the simulated ambient environment.  

supplementary_materials.pdf – Additional information on the user studies, including detailed descriptions of participant tasks and the USE questionnaire used. 

replication_package.zip – A Python project containing all data collected during the user studies, along with the scripts required to reproduce the statistical analyses, figures, and tables reported in the paper.  


This repository is provided solely for anonymous peer review.  A fully identified version will be released upon paper acceptance, along with the URL of the online experiment platform.
DOI: 10.5281/zenodo.18396807
title: Granular Feedback in Human–AI Interaction: Exploring Trade-offs in Ambient Intelligence (supplementary materials)

description: This repository contains the supplementary materials for the paper:

Granular Feedback in Human–AI Interaction: Exploring Trade-offs in Ambient Intelligence

It includes the following files:



demonstration.mp4 – A video showcasing the execution of the first user study, illustrating participant interaction with OCE within the simulated ambient environment.  

supplementary_materials.pdf – Additional information on the user studies, including detailed descriptions of participant tasks and the USE questionnaire used. 

replication_package.zip – A Python project containing all data collected during the user studies, along with the scripts required to reproduce the statistical analyses, figures, and tables reported in the paper.  


This repository is provided solely for anonymous peer review.  A fully identified version will be released upon paper acceptance, along with the URL of the online experiment platform.
DOI: 10.5281/zenodo.18436523
title: Table_S1
DOI: 10.5281/zenodo.18436522
title: Table_S1
DOI: 10.17605/osf.io/p2u85
title: Capturing Team Cognition: A Multimodal Dataset for Adaptive Collaborative Interfaces

description: We introduce a multimodal dataset and experimental setup designed to support the development of adaptive collaborative systems. Data were collected from distributed teams working simultaneously across two continents, demonstrating the feasibility of sensing team cognition in geographically dispersed settings. The dataset includes synchronized EEG, audio transcripts, screen recordings, and behavioral annotations, enabling fine-grained analysis of collaboration in naturalistic settings. Our setup integrates neural and behavioral sensing to model team processes, using metrics such as task engagement, neural synchrony, and interaction patterns. These analyses reveal relationships between cognitive states and team dynamics, suggesting new directions for brain-computer interfaces that respond to team-level signals. By providing a shareable dataset, robust sensing infrastructure, and techniques for modeling distributed collaboration, this work enables future interactive systems that sense and support distributed teamwork in real time.
DOI: 10.15468/dl.5y77ad
title: Occurrence Download

description: A dataset containing 8527 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - United States (Contiguous) (ver.2.0, 2022)"
 ]
}

 The dataset includes 8527 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002642-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26093/cds/vizier.36669009
title: SMACS J0723.3-7327 first JWST observations

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' First JWST observations of a gravitational lens. Mass model of new multiple images with near-infrared observations of SMACS J0723.3-7327.' (bibcode: 2022A&A...666L...9C)
DOI: 10.26093/cds/vizier.36700060
title: Abell 2744 members

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' New high-precision strong lensing modeling of Abell 2744. Preparing for JWST observations.' (bibcode: 2023A&A...670A..60B)
DOI: 10.5517/ccdc.csd.cc2n0rwb
title: CCDC 2443602: Experimental Crystal Structure Determination

description: Related Article: Subhash Bairagi, Soumen Giri, Debipada Chatterjee, Soham Chowdhury, Sundargopal Ghosh|2025|Inorg.Chem.Front.|||doi:10.1039/d5qi01882j
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.cc2pdpld
title: CCDC 2484854: Experimental Crystal Structure Determination

description: Related Article: Antônio Junio Araujo Dias, Ken Tanaka, Masanobu Uchiyama, Yuki Nagashima|2025|ChemRxiv|||doi:10.26434/chemrxiv-2025-6xnhk
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.cc2pgkc3
title: CCDC 2486645: Experimental Crystal Structure Determination

description: Related Article: Yu-Mei Wang, Yan Wu, Shu-Hua Zhong, Jin-Feng Liang, Jia-Yu Liang, Guo-Hong Ning, Mo Xie, Dan Li
|2026|Chin.J.Chem.|44|1104|doi:10.1002/cjoc.70451
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: 10.26093/cds/vizier.36770059
title: SigMA clusters in Sco-Cen

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Significance mode analysis (SigMA) for hierarchical structures. An application to the Sco-Cen OB association.' (bibcode: 2023A&A...677A..59R)
DOI: 10.5517/ccdc.csd.cc2pgqws
title: CCDC 2486816: Experimental Crystal Structure Determination

description: Related Article: Orlando Ortiz, Mohan Raj Anthony Raj, Thierry Maris, Stéphane Kéna-Cohen, W. G. Skene|2026|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01310
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.cc2pgqxt
title: CCDC 2486817: Experimental Crystal Structure Determination

description: Related Article: Orlando Ortiz, Mohan Raj Anthony Raj, Thierry Maris, Stéphane Kéna-Cohen, W. G. Skene|2026|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c01310
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.18436278
title: Microscopy-based assessment of RNA polymerase II clusters and H3K27ac level during differentiation of cultured mouse embryonic stem cells

description: This repository contains the data and MatLab analysis scripts of the analysis of RNA polymerase II clusters and H3K27ac levels over the course of differentiation of cultured mouse embryonic stem cells (mESCs). The cells were induced towards differentiation by RHB-A culture treatment. The treatment was carried out in duplicate in independent experiments. Time course data were obtained by collection of cells at 6, 12, 24, 48, and 72 hours following the beginning of induction. Control data from unindexed cells were obtained at 6, 12, and 24 hours. Cells were cultured, treated, collected, and fixed at University Medical Center Göttingen by Matthias Akyel and Carmelo Ferrai. Fixed cells were fluorescently labeled and microscopy images were recorded and analyzed at Karlsruhe Institute of Technology by Alica Schmidt-Heydt, Yuzhi Bao, Alicia Günthel, and Lennart Hilbert. The image analysis was carried out by Lennart Hilbert and Stephan Allgeier at Karlsruhe Institute of Technology.

To analyse data, the raw image data were extracted and processed in batches. The underlying set of MatLab, bash, and slurm scripts are provided within this repository. 

The raw data are too extensive to store in Zenodo repositories. Within this repository, we provide the derived analysis results, which were obtained by processing on the Large Scale Data Facility as well as the bwUniCluster of Karlsruhe Institute of Technology. These derived analysis results are contained in the file AfterObjectAnalysis_combined_v7.mat provided within this repository.The final analysis steps were carried out locally, using the MatLab script ClusterAnalysis_mESC_Oct2025_part2.m.
DOI: 10.5517/ccdc.csd.cc2ph0s0
title: CCDC 2487092: Experimental Crystal Structure Determination

description: Related Article: Yu Zhu, Fang Xie, Fan Gao, Xiaoxue Wu, Zhanbin Zhang, Guohua Hou|2026|Org.Lett.|||doi:10.1021/acs.orglett.5c04978
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.18436277
title: Microscopy-based assessment of RNA polymerase II clusters and H3K27ac level during differentiation of cultured mouse embryonic stem cells

description: This repository contains the data and MatLab analysis scripts of the analysis of RNA polymerase II clusters and H3K27ac levels over the course of differentiation of cultured mouse embryonic stem cells (mESCs). The cells were induced towards differentiation by RHB-A culture treatment. The treatment was carried out in duplicate in independent experiments. Time course data were obtained by collection of cells at 6, 12, 24, 48, and 72 hours following the beginning of induction. Control data from unindexed cells were obtained at 6, 12, and 24 hours. Cells were cultured, treated, collected, and fixed at University Medical Center Göttingen by Matthias Akyel and Carmelo Ferrai. Fixed cells were fluorescently labeled and microscopy images were recorded and analyzed at Karlsruhe Institute of Technology by Alica Schmidt-Heydt, Yuzhi Bao, Alicia Günthel, and Lennart Hilbert. The image analysis was carried out by Lennart Hilbert and Stephan Allgeier at Karlsruhe Institute of Technology.

To analyse data, the raw image data were extracted and processed in batches. The underlying set of MatLab, bash, and slurm scripts are provided within this repository. 

The raw data are too extensive to store in Zenodo repositories. Within this repository, we provide the derived analysis results, which were obtained by processing on the Large Scale Data Facility as well as the bwUniCluster of Karlsruhe Institute of Technology. These derived analysis results are contained in the file AfterObjectAnalysis_combined_v7.mat provided within this repository.The final analysis steps were carried out locally, using the MatLab script ClusterAnalysis_mESC_Oct2025_part2.m.
DOI: 10.5517/ccdc.csd.cc2pj5hx
title: CCDC 2488199: Experimental Crystal Structure Determination

description: Related Article: Hangwei Jia, Yaqi Jin, Junwei Feng, Bailin Chen, Feng Yu, Xueling Hou|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05688
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.cc2pj5jy
title: CCDC 2488200: Experimental Crystal Structure Determination

description: Related Article: Hangwei Jia, Yaqi Jin, Junwei Feng, Bailin Chen, Feng Yu, Xueling Hou|2026|Inorg.Chem.|||doi:10.1021/acs.inorgchem.5c05688
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.cc2pj2r2
title: CCDC 2488114: Experimental Crystal Structure Determination

description: Related Article: Zhi Li, Jie Tang, Caijin Lei, Xin Lai, Hongwei Yang, Chuan Xiao, Guangbin Cheng|2026|Org.Lett.|||doi:10.1021/acs.orglett.5c05016
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: 10.26093/cds/vizier.36890042
title: MACS J1149.5+2223 redshifts

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Improved model of the Supernova Refsdal cluster MACS J1149.5+2223 thanks to VLT/MUSE.' (bibcode: 2024A&A...689A..42S)
DOI: 10.26093/cds/vizier.36920125
title: Molecular gas in void galaxies

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' CO-CAVITY project: Molecular gas and star formation in void galaxies.' (bibcode: 2024A&A...692A.125R)
DOI: 10.5281/zenodo.15577891
title: Dataset for 'Envelope Inflation and Mass Loss Driven by Energy Deposition in Massive Stars'

description: The dataset accompanying this study contains all the essential components required to run the MESA (Modules for Experiments in Stellar Astrophysics) code for our numerical simulations investigating energy deposition processes in massive stars. It includes a complete inlist file that defines the input physics, control parameters, and computational settings necessary for stellar evolution modeling. Additionally, the dataset provides the rn and mk files, which are required for compiling the MESA source code and ensuring proper execution on the user's system.

The dataset also features the inlist file, the run_star_extras file, and the key output files generated during the simulations namely, history.data  and profile.data. The history.data file logs the star’s global parameters (e.g., luminosity, surface temperature, stellar radius, total mass, central entropy, and various energy components) as functions of time. In contrast, the profile.data files offer detailed internal structure data at selected time steps, providing spatial resolution for quantities such as density, temperature, composition, and energy generation rates throughout the stellar interior.

To support analysis and visualization, the dataset includes Python scripts that extract and plot key stellar parameters from the MESA outputs. These scripts generate time and radius dependent graphs that illustrate the evolution of the star's physical properties, enabling a detailed investigation of phenomena such as envelope inflation and mass loss driven by energy deposition in the stellar interior.
DOI: 10.5281/zenodo.15577892
title: Dataset for 'Envelope Inflation and Mass Loss Driven by Energy Deposition in Massive Stars'

description: The dataset accompanying this study contains all the essential components required to run the MESA (Modules for Experiments in Stellar Astrophysics) code for our numerical simulations investigating energy deposition processes in massive stars. It includes a complete inlist file that defines the input physics, control parameters, and computational settings necessary for stellar evolution modeling. Additionally, the dataset provides the rn and mk files, which are required for compiling the MESA source code and ensuring proper execution on the user's system.

The dataset also features the inlist file, the run_star_extras file, and the key output files generated during the simulations namely, history.data  and profile.data. The history.data file logs the star’s global parameters (e.g., luminosity, surface temperature, stellar radius, total mass, central entropy, and various energy components) as functions of time. In contrast, the profile.data files offer detailed internal structure data at selected time steps, providing spatial resolution for quantities such as density, temperature, composition, and energy generation rates throughout the stellar interior.

To support analysis and visualization, the dataset includes Python scripts that extract and plot key stellar parameters from the MESA outputs. These scripts generate time and radius dependent graphs that illustrate the evolution of the star's physical properties, enabling a detailed investigation of phenomena such as envelope inflation and mass loss driven by energy deposition in the stellar interior.
DOI: 10.5281/zenodo.18378977
title: Hyperspectral data collections at University of Memphis 2025-07-23

description: This data was collected using a modified Resonon Pika L airborne system with custom airborne software. See the accompanying paper for details.

The data is intended to be used uncompressed. Each archive contains one dataset comprising a number of cubes, the IMU data, and the packet data. Each will extract to its own folder. The cube data is encoded with vidpak.

If the "download all" button was used, extract that .zip file into its component files first. On Linux, all dataset archives can be extracted at once into their respective folders with the command cat *.tar | tar ixv. After downloading of all files, and extraction of the dataset archives, the complete data can be verified using the command sha256sum -c ./manifest.sha256sum. The command will print warnings if files are missing, not extracted, or if checksums are incorrect.
DOI: 10.5281/zenodo.17527244
title: Hyperspectral data collections at University of Memphis 2025-07-23

description: This data was collected using a modified Resonon Pika L airborne system with custom airborne software. See the accompanying paper for details.

The data is intended to be used uncompressed. Each archive contains one dataset comprising a number of cubes, the IMU data, and the packet data. Each will extract to its own folder. The cube data is encoded with vidpak.

If the "download all" button was used, extract that .zip file into its component files first. On Linux, all dataset archives can be extracted at once into their respective folders with the command cat *.tar | tar ixv. After downloading of all files, and extraction of the dataset archives, the complete data can be verified using the command sha256sum -c ./manifest.sha256sum. The command will print warnings if files are missing, not extracted, or if checksums are incorrect.
DOI: 10.26093/cds/vizier.74871823
title: MIR spectra of AGNs heating molecular gas

description: VizieR online Data Catalogue associated with article published in journal Monthly Notices of the Royal Astronomical Society with title ' Mid-infrared spectroscopic evidence for AGN heating warm molecular gas.' (bibcode: 2019MNRAS.487.1823L)
DOI: 10.26093/cds/vizier.75232193
title: TMTS flare study from the first two years

description: VizieR online Data Catalogue associated with article published in journal Monthly Notices of the Royal Astronomical Society with title ' Minute-cadence observations of the LAMOST fields with the TMTS. III. Statistic study of the flare stars from the first two years.' (bibcode: 2023MNRAS.523.2193L)