cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22683190
title: Comparison of methods for the isolation and culture of Migratory chondroprogenitors from Human articular cartilage

description: Resident articular stem cells isolated using a migratory assay called Migratory Chondroprogenitors (MCPs) have emerged as a promising cellular therapeutic for the treatment of cartilage pathologies. In-vivo studies using MCPs report their superiority over bone-marrow mesenchymal stem cells and chondrocytes for treating chondral defects. However, there is no consensus on their isolation protocol. This study aimed to compare four reported isolation methods of MCPs and identify the optimal and feasible protocol for future translational work. Human MCPs isolated from osteoarthritic cartilage (<i>n</i> = 3) were divided into four groups: a) MCP1: 8–15 mm cartilage explants, b) MCP2: 8–10 mm explants digested in 0.1% collagenase for 2 hrs. and cultured c) MCP3: 1 mm cartilage explants and d) MCP 4: 25 mm explants with a X tear, 7-day culture, and trypsinization to release migrated cells. The MCPs were subjected to the following analysis: growth kinetics, surface marker expression, mRNA gene expression for markers of chondrogenesis and hypertrophy, and trilineage differentiation. MCPs isolated via the four methods showed similar surface marker profiles, chondrogenic (SOX-9, ACAN, COL2A1) and hypertrophic (COL1, RUNX2) gene expression. The migration time for the MCP3 group was the longest. The MCP1, MCP2, and MCP4 groups produced MCPs with comparable cellular expansion feasibility. MCPs can be preferably isolated by the any of the three above methods based on the investigator’s discretion. In the case of small cartilage samples similar to the MCP3 group, the isolation of MCP is plausible, keeping in mind the additional time required.
DOI: 10.6084/m9.figshare.22683190.v1
title: Comparison of methods for the isolation and culture of Migratory chondroprogenitors from Human articular cartilage

description: Resident articular stem cells isolated using a migratory assay called Migratory Chondroprogenitors (MCPs) have emerged as a promising cellular therapeutic for the treatment of cartilage pathologies. In-vivo studies using MCPs report their superiority over bone-marrow mesenchymal stem cells and chondrocytes for treating chondral defects. However, there is no consensus on their isolation protocol. This study aimed to compare four reported isolation methods of MCPs and identify the optimal and feasible protocol for future translational work. Human MCPs isolated from osteoarthritic cartilage (<i>n</i> = 3) were divided into four groups: a) MCP1: 8–15 mm cartilage explants, b) MCP2: 8–10 mm explants digested in 0.1% collagenase for 2 hrs. and cultured c) MCP3: 1 mm cartilage explants and d) MCP 4: 25 mm explants with a X tear, 7-day culture, and trypsinization to release migrated cells. The MCPs were subjected to the following analysis: growth kinetics, surface marker expression, mRNA gene expression for markers of chondrogenesis and hypertrophy, and trilineage differentiation. MCPs isolated via the four methods showed similar surface marker profiles, chondrogenic (SOX-9, ACAN, COL2A1) and hypertrophic (COL1, RUNX2) gene expression. The migration time for the MCP3 group was the longest. The MCP1, MCP2, and MCP4 groups produced MCPs with comparable cellular expansion feasibility. MCPs can be preferably isolated by the any of the three above methods based on the investigator’s discretion. In the case of small cartilage samples similar to the MCP3 group, the isolation of MCP is plausible, keeping in mind the additional time required.
DOI: 10.4121/dd489874-a994-4c4d-a235-c3f4896f7454
title: Data for Chapter 3: Excited state dynamics of acceptor–donor–acceptor systems based on BODIPY

description: The attached dataset contains experimental data obtained from steady-state optical measurements, transient absorption measurements, and computational data from DFT/TDDFT calculations.
DOI: 10.4121/dd489874-a994-4c4d-a235-c3f4896f7454.v1
title: Data for Chapter 3: Excited state dynamics of acceptor–donor–acceptor systems based on BODIPY

description: The attached dataset contains experimental data obtained from steady-state optical measurements, transient absorption measurements, and computational data from DFT/TDDFT calculations.
DOI: 10.17638/datacat.liverpool.ac.uk/2156
title: Low Thermal Conductivity in Bi8CsO8SeX7 (x = Cl, Br)

description: Understanding the structure-property relationships of materials in order to supress thermal conductivity is crucial for developing efficient thermoelectric generators and thermal barrier coatings. Low thermal conductivity materials can often contain a single dominant phonon scattering mechanism. Here, we highlight how combining different structural features into one material can aid in the design and identification of new materials with low thermal conductivities. We synthesise two new mixed-anion materials, Bi8CsO8SeX7 (X = Cl and Br), with low thermal conductivities of 0.27(2) and 0.22(2) W m-1 K-1 respectively, measured along their c-axes at room temperature. The Bi8CsO8SeX7 materials possess a combination of bond strength hierarchies, Cs+ vacancies, and low frequency Cs+ rattling. These different features significantly inhibit phonon transport along different crystallographic directions. Due to sharp bond strength contrast between the van der Waals gaps and [Bi2O2]2+ layers, Bi8CsO8SeX7 materials exhibit thermal conductivities &lt;50% of the theoretical minimum when measured along the stacking direction. Conversely, the thermal conductivity associated with the ab-plane is reduced by Cs+ rattling when compared to the structurally and compositionally related BiOCl.
DOI: 10.21227/d6tk-mk06
title: Autonomic networking analysis

description: This dataset contains the data analyzed after extracting and processing information from several scientific articles related to the application of the autonomic paradigm to the orchestration and management of telecommunication networks. The file has several categories referring to the autonomic properties and their areas of application and has helped us to create a taxonomy to classify the articles according to their autonomic properties and to identify the most relevant areas according to the number of authors working on them. The archive also contains graphs generated from the processed data, which have been included as results in a survey article under review.
DOI: 10.4121/01c1cf07-870a-4bc5-8b04-7df0919e0304
title: Data from "Pleiotropy drives evolutionary repair of the responsiveness of polarized cell growth to environmental cues"

description: This dataset contains the data from the growth measurements, the microscopy experiments and the whole-genome sequencing analysis presented in the publication.
DOI: 10.4121/01c1cf07-870a-4bc5-8b04-7df0919e0304.v1
title: Data from "Pleiotropy drives evolutionary repair of the responsiveness of polarized cell growth to environmental cues"

description: This dataset contains the data from the growth measurements, the microscopy experiments and the whole-genome sequencing analysis presented in the publication.
DOI: 10.5281/zenodo.8112919
title: anonymous dataset

description: anonymous dataset
DOI: 10.5281/zenodo.8112920
title: anonymous dataset

description: anonymous dataset
DOI: 10.25377/sussex.23586057.v1
title: <strong>[Dataset] Tennis grunts communicate acoustic cues to sex and contest outcome </strong>

description: <strong>Data for Raine, Jordan, Pisanski, Katarzyna and Reby, David (2017) </strong><em><strong>Tennis grunts communicate acoustic cues to sex and contest outcome</strong></em><strong>. Animal Behaviour, 130. pp. 47-55 </strong> <br> Please see Tennis Grunts 2017 Dataset Information Sheet.pdf for an explanation of these data. <br> <strong>Abstract</strong> <br> Despite their ubiquity in human behaviour, the communicative functions of nonverbal vocalisations remain poorly understood. Here, we analysed the acoustic structure of tennis grunts, nonverbal vocalisations produced in a competitive context. We predicted that tennis grunts convey information about vocalizer and context, similar to nonhuman vocal displays. Specifically, we tested whether the fundamental frequency (F0) of tennis grunts conveys static cues to a playerâ€™s sex, height, weight, and age, and covaries dynamically with tennis shot type (a proxy of body posture) and the progress and outcome of male and female professional tennis contests. We also performed playback experiments (using natural and resynthesised stimuli) to assess the perceptual relevance of tennis grunts. The F0 of tennis grunts predicted player sex, but not age or body size. Serve grunts had higher F0 than forehand and backhand grunts, grunts produced later in contests had higher F0 than those produced earlier, and grunts produced during contests that players won had a lower F0 than those produced during lost contests. This difference in F0 between losses and wins emerged early in matches, and did not change in magnitude as the match progressed, suggesting a possible role of physiological and/or psychological factors manifesting early or even before matches. Playbacks revealed that listeners use grunt F0 to infer sex and contest outcome. These findings indicate that tennis grunts communicate information about both vocalizer and contest, consistent with nonhuman mammal vocalisations.
DOI: 10.5281/zenodo.8112715
title: Sentinel2-NOAA Water Edges Dataset (SNOWED)

description: An automatically built dataset of labelled satellite images for sea-land segmentation and shoreline detection. The dataset is built using shoreline data from the National Oceanic and Atmospheric Administration (NOAA) and satellite images from Copernicus Sentinel 2 project.
DOI: 10.5281/zenodo.8113196
title: Dryocoetes himalayensis data sheet Kašák et al. 2023

description: Data sheet
DOI: 10.5281/zenodo.8113195
title: Dryocoetes himalayensis data sheet Kašák et al. 2023

description: Data sheet
DOI: 10.5281/zenodo.8101890
title: Data and code for publication "The stability of present-day Antarctic grounding lines - Part B"

description: Data and code for the publication "The stability of present-day Antarctic grounding lines – Part B: Onset of irreversible retreat of Amundsen Sea glaciers under current climate on centennial timescales cannot be excluded" in The Cryosphere. Zip files contain data, python notebooks for analysis and PISM code. Please contact ronja.reese@northumbria.ac.uk if you have any further questions.
DOI: 10.5517/ccdc.csd.cc2fm1qv
title: CCDC 2252637: Experimental Crystal Structure Determination

description: Related Article: Annemarie Hetzheim, Görls, Helmar|2023|CSD Communication|||
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.cc2fm1rw
title: CCDC 2252638: Experimental Crystal Structure Determination

description: Related Article: Annemarie Hetzheim, Görls, Helmar|2023|CSD Communication|||
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.cc2fm1sx
title: CCDC 2252639: Experimental Crystal Structure Determination

description: Related Article: Annemarie Hetzheim, Görls, Helmar|2023|CSD Communication|||
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.cc2fm1ty
title: CCDC 2252640: Experimental Crystal Structure Determination

description: Related Article: Annemarie Hetzheim, Görls, Helmar|2023|CSD Communication|||
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.cc2fm1vz
title: CCDC 2252641: Experimental Crystal Structure Determination

description: Related Article: Annemarie Hetzheim, Görls, Helmar|2023|CSD Communication|||
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.cc2fm1w0
title: CCDC 2252642: Experimental Crystal Structure Determination

description: Related Article: Annemarie Hetzheim, Görls, Helmar|2023|CSD Communication|||
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.cc2fm1x1
title: CCDC 2252643: Experimental Crystal Structure Determination

description: Related Article: Annemarie Hetzheim, Görls, Helmar|2023|CSD Communication|||
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.cc2fmf2l
title: CCDC 2252989: Experimental Crystal Structure Determination

description: Related Article: Simon Lotz, Thomas Waldbach, Görls, Helmar|2023|CSD Communication|||
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.cc2fmf3m
title: CCDC 2252990: Experimental Crystal Structure Determination

description: Related Article: Simon Lotz, Thomas Waldbach, Görls, Helmar|2023|CSD Communication|||
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.cc2fmf4n
title: CCDC 2252991: Experimental Crystal Structure Determination

description: Related Article: Simon Lotz, Thomas Waldbach, Görls, Helmar|2023|CSD Communication|||
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.cc2fmf6q
title: CCDC 2252993: Experimental Crystal Structure Determination

description: Related Article: Simon Lotz, Thomas Waldbach, Görls, Helmar|2023|CSD Communication|||
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.cc2fmffy
title: CCDC 2253000: Experimental Crystal Structure Determination

description: Related Article: Simon Lotz, Thomas Waldbach, Görls, Helmar|2023|CSD Communication|||
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.cc2fmfh0
title: CCDC 2253002: Experimental Crystal Structure Determination

description: Related Article: Simon Lotz, Thomas Waldbach, Görls, Helmar|2023|CSD Communication|||
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.cc2fmfj1
title: CCDC 2253003: Experimental Crystal Structure Determination

description: Related Article: Simon Lotz, Nora Ann, Görls, Helmar|2023|CSD Communication|||
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.cc2fnb8q
title: CCDC 2253863: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, Corina Lange, Görls, Helmar|2023|CSD Communication|||
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.cc2fnb9r
title: CCDC 2253864: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, Manuela Dubbs, Görls, Helmar|2023|CSD Communication|||
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.cc2fnbbs
title: CCDC 2253865: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, Corina Lange, Görls, Helmar|2023|CSD Communication|||
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.cc2fnbct
title: CCDC 2253866: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, Ralf Wyrwa, Görls, Helmar|2023|CSD Communication|||
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.cc2fnbgx
title: CCDC 2253869: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, Manuela Dubbs, Görls, Helmar|2023|CSD Communication|||
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.cc2fnbhy
title: CCDC 2253870: Experimental Crystal Structure Determination

description: Related Article: Bruno Schönecker, M. Rost, Görls, Helmar|2023|CSD Communication|||
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.8112838
title: Simple Shapes Dataset

description: This dataset is used in the paper <em>Semi-supervised Multimodal Representation Learning through a Global Workspace, </em>Devillers et al., 2023 (under review). To use this dataset, use the code provided here: https://github.com/bdvllrs/bimGW. It consists of 32x32 pixel images of shapes with multiple attributes (size, location, rotation, color). Each image is also paired with its ground truth information (attributes), and a natural language description (English) of the image. The dataset is composed of: a train set of 500,000 samples, a val and a test set of 1000 samples each. It also contains already processed 12-dimensional visual features (from a VAE), and presaved BERT features of the text descriptions.
DOI: 10.5281/zenodo.8112837
title: Simple Shapes Dataset

description: This dataset is used in the paper <em>Semi-supervised Multimodal Representation Learning through a Global Workspace, </em>Devillers et al., 2023 (under review). To use this dataset, use the code provided here: https://github.com/bdvllrs/bimGW. It consists of 32x32 pixel images of shapes with multiple attributes (size, location, rotation, color). Each image is also paired with its ground truth information (attributes), and a natural language description (English) of the image. The dataset is composed of: a train set of 500,000 samples, a val and a test set of 1000 samples each. It also contains already processed 12-dimensional visual features (from a VAE), and presaved BERT features of the text descriptions.