cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22139951.v1
title: Lu MERFISH Mouse Fetal Liver 2021

description: Dataset published by Lu et al. 2021, which contains MERFISH data from four milt type E14.5 fetal mouse livers measuring hematopoietic stem cell (HSC) niches in 140 images. <br> <strong>Citation</strong> Lu, Y., Liu, M., Yang, J. <em>et al.</em> Spatial transcriptome profiling by MERFISH reveals fetal liver hematopoietic stem cell niche architecture. <em>Cell Discov</em> <strong>7</strong>, 47 (2021). https://doi.org/10.1038/s41421-021-00266-1 <strong>Original data link</strong> https://campuspress.yale.edu/wanglab/HSCMERFISH
DOI: 10.5281/zenodo.7669469
title: dATASET RELATED TO ARTICLE "Complement Activation Profile in Myasthenia Gravis Patients: Perspectives for Tailoring Anti-Complement Therapy"

description: <strong>raw data derived by quantification of complement components and activation products in plasma samples of myasthenia gravis (MG) patients positive for anti-achr and anti-musk autoantibodies and healthy controls, using multiplex immunoassays and elisa</strong>
description: Funfing: Italian ministry of Health - MINISTERO DELLA SALUTE, RICERCA CORRENTE AND GRANT N. RF-2016-02364384
DOI: 10.5281/zenodo.7669472
title: Genova - Urban green space accessibility and distribution

description: Results of the evaluation of urban green space accessibility and distribution in Genova.
DOI: 10.5281/zenodo.7669473
title: Genova - Urban green space accessibility and distribution

description: Results of the evaluation of urban green space accessibility and distribution in Genova.
DOI: 10.5281/zenodo.7669468
title: dATASET RELATED TO ARTICLE "Complement Activation Profile in Myasthenia Gravis Patients: Perspectives for Tailoring Anti-Complement Therapy"

description: <strong>raw data derived by quantification of complement components and activation products in plasma samples of myasthenia gravis (MG) patients positive for anti-achr and anti-musk autoantibodies and healthy controls, using multiplex immunoassays and elisa</strong>
description: Funfing: Italian ministry of Health - MINISTERO DELLA SALUTE, RICERCA CORRENTE AND GRANT N. RF-2016-02364384
DOI: 10.5281/zenodo.7669443
title: Genova - Stormwater retention capacity

description: Stormwater retention capacity for two different types of pervious surfaces (resin-gravel pavement and meadow) used in the Gavoglio area in Genova.
DOI: 10.5281/zenodo.7669444
title: Genova - Stormwater retention capacity

description: Stormwater retention capacity for two different types of pervious surfaces (resin-gravel pavement and meadow) used in the Gavoglio area in Genova.
DOI: 10.5281/zenodo.7669485
title: Genova - Self-reported wellbeing status

description: Self-reported mental health and wellbeing status for visitors of Gavoglio Part in Genova.
DOI: 10.5281/zenodo.7669486
title: Genova - Self-reported wellbeing status

description: Self-reported mental health and wellbeing status for visitors of Gavoglio Part in Genova.
DOI: 10.17909/etqw-9m55
title: ALPAKA_ID1

description: ALPAKA_ID1
DOI: 10.6084/m9.figshare.21623829.v4
title: Pearl millet transcription factor family characterization data

description: Presented are datasets derived from analyzing sequences of putative transcription factors and some other proteins in pearl millet (<em>Pennisetum glaucum</em>). These datasets shows families which those protiens belong to, a phylogenetic tree and conserved motifs for each of these family, and their predicted subcellular localization.
DOI: 10.5281/zenodo.7669490
title: dataset related to article "Autophagy and Lysosomal Functionality in CMT2B Fibroblasts Carrying the RAB7K126R Mutation"

description: Autophagy, lipophagy and lysosomal activity in CMT2B fibroblasts carrying the p.K126R RAB7 novel mutation, associated with predominantly motor phenotype
description: Partially funded by Fondazione Telethon, Grant GGP16037 to Cecilia Bucci; Regione Puglia DGR n.2117 del 21/11/2018, CUP: B84I18000540002.
DOI: 10.5281/zenodo.7669489
title: dataset related to article "Autophagy and Lysosomal Functionality in CMT2B Fibroblasts Carrying the RAB7K126R Mutation"

description: Autophagy, lipophagy and lysosomal activity in CMT2B fibroblasts carrying the p.K126R RAB7 novel mutation, associated with predominantly motor phenotype
description: Partially funded by Fondazione Telethon, Grant GGP16037 to Cecilia Bucci; Regione Puglia DGR n.2117 del 21/11/2018, CUP: B84I18000540002.
DOI: 10.6084/m9.figshare.22139972
title: Lu scRNA-seq Mouse Fetal Liver 2021

description: <br> Dataset published by Lu et al. 2021, which contains single-cell RNA sequencing data of E14.5 whole fetal liver cells. <br> <strong>Citation</strong> Lu, Y., Liu, M., Yang, J. <em>et al.</em> Spatial transcriptome profiling by MERFISH reveals fetal liver hematopoietic stem cell niche architecture. <em>Cell Discov</em> <strong>7</strong>, 47 (2021). https://doi.org/10.1038/s41421-021-00266-1 <strong>Original data link</strong> https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM5242402
DOI: 10.5281/zenodo.5801561
title: AUTH-OpenDR SMPL+D Human Bodies Dataset

description: The dataset contains 2982 human bodies in various shapes and textures folowing the SMPL-D template. At its core, our dataset consists of 183 unique SMPL+D bodies, which were generated through non-rigid shape registration of manually generated MakeHuman models. The rest were generated by applying shape and texture alterations to those models. In addition, we provide code for converting those human models in the FBX format. However, pose-dependent deformations are not applied to the human models. Finally, instructions for setting a demo project in the Webots simulator are provided. In the project, one the SMPL+D models in FBX format can perform an animation from AMASS. The dataset was developed by Aristotle University of Thessaloniki (AUTH) within the H2020 OpenDR Project. The dataset is available through the official GitHub repository of the OpenDR toolkit here.
description: The dataset, consists of (1) the SMPL+D human bodies in raw format (texture-maps, displacement-maps, shape parameters, gender), (2) the SMPL+D human models in FBX files, (3) a Webots project, (4) code for processing (1), (2), (3). The dataset is licensed under the Creative Commons Attribution 4.0 International License.
DOI: 10.5281/zenodo.5801562
title: AUTH-OpenDR SMPL+D Human Bodies Dataset

description: The dataset contains 2982 human bodies in various shapes and textures folowing the SMPL-D template. At its core, our dataset consists of 183 unique SMPL+D bodies, which were generated through non-rigid shape registration of manually generated MakeHuman models. The rest were generated by applying shape and texture alterations to those models. In addition, we provide code for converting those human models in the FBX format. However, pose-dependent deformations are not applied to the human models. Finally, instructions for setting a demo project in the Webots simulator are provided. In the project, one the SMPL+D models in FBX format can perform an animation from AMASS. The dataset was developed by Aristotle University of Thessaloniki (AUTH) within the H2020 OpenDR Project. The dataset is available through the official GitHub repository of the OpenDR toolkit here.
description: The dataset, consists of (1) the SMPL+D human bodies in raw format (texture-maps, displacement-maps, shape parameters, gender), (2) the SMPL+D human models in FBX files, (3) a Webots project, (4) code for processing (1), (2), (3). The dataset is licensed under the Creative Commons Attribution 4.0 International License.
DOI: 10.5281/zenodo.7633990
title: Metrics As Scores Dataset: Elisa Spectrophotometer Positive Samples

description: The ELISA dataset contains data from a spectrophotometer that determined the optical density of positive control samples, from five different lots, across five different runs. This dataset was introduced in (Schmid 1991). This dataset has the following Quantity Types: Lot1: The first lot Lot2: The second lot Lot3: The third lot Lot4: The fourth lot Lot5: The fifth lot It has a total of 5 Contexts: Run1, Run2, Run3, Run4, and Run5.
description: {"references": ["Schmid, Christopher H. 1991. \"Value Splitting: Taking the Data Apart.\" In Fundamentals of Exploratory Analysis of Variance, edited by David C Hoaglin, Frederick Mosteller, and John\tWilder Tukey, 72-113. Wiley Series in Probability and Statistics. Nashville, TN: John Wiley & Sons. ISBN 9780471527350."]}
DOI: 10.5281/zenodo.7633989
title: Metrics As Scores Dataset: Elisa Spectrophotometer Positive Samples

description: The ELISA dataset contains data from a spectrophotometer that determined the optical density of positive control samples, from five different lots, across five different runs. This dataset was introduced by (Schmid 1991). This dataset has the following <strong>Features</strong>: <em>Lot1</em>: The first lot <em>Lot2</em>: The second lot <em>Lot3</em>: The third lot <em>Lot4</em>: The fourth lot <em>Lot5</em>: The fifth lot It has a total of 5 <strong>Groups</strong>: <em>Run1</em>, <em>Run2</em>, <em>Run3</em>, <em>Run4</em>, and <em>Run5</em>.
description: {"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Schmid, Christopher H. 1991. \"Value Splitting: Taking the Data Apart.\" In Fundamentals of Exploratory Analysis of Variance, edited by David C Hoaglin, Frederick Mosteller, and John\tWilder Tukey, 72-113. Wiley Series in Probability and Statistics. Nashville, TN: John Wiley & Sons. ISBN 9780471527350."]}
DOI: 10.5281/zenodo.7655179
title: Metrics As Scores Dataset: Elisa Spectrophotometer Positive Samples

description: The ELISA dataset contains data from a spectrophotometer that determined the optical density of positive control samples, from five different lots, across five different runs. This dataset was introduced in (Schmid 1991). This dataset has the following <strong>Features</strong>: Lot1: The first lot Lot2: The second lot Lot3: The third lot Lot4: The fourth lot Lot5: The fifth lot It has a total of 5 <strong>Groups</strong>: Run1, Run2, Run3, Run4, and Run5.
description: {"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Schmid, Christopher H. 1991. \"Value Splitting: Taking the Data Apart.\" In Fundamentals of Exploratory Analysis of Variance, edited by David C Hoaglin, Frederick Mosteller, and John\tWilder Tukey, 72-113. Wiley Series in Probability and Statistics. Nashville, TN: John Wiley & Sons. ISBN 9780471527350."]}
DOI: 10.5281/zenodo.7669514
title: Metrics As Scores Dataset: Elisa Spectrophotometer Positive Samples

description: The ELISA dataset contains data from a spectrophotometer that determined the optical density of positive control samples, from five different lots, across five different runs. This dataset was introduced by (Schmid 1991). This dataset has the following <strong>Features</strong>: <em>Lot1</em>: The first lot <em>Lot2</em>: The second lot <em>Lot3</em>: The third lot <em>Lot4</em>: The fourth lot <em>Lot5</em>: The fifth lot It has a total of 5 <strong>Groups</strong>: <em>Run1</em>, <em>Run2</em>, <em>Run3</em>, <em>Run4</em>, and <em>Run5</em>.
description: {"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Schmid, Christopher H. 1991. \"Value Splitting: Taking the Data Apart.\" In Fundamentals of Exploratory Analysis of Variance, edited by David C Hoaglin, Frederick Mosteller, and John\tWilder Tukey, 72-113. Wiley Series in Probability and Statistics. Nashville, TN: John Wiley & Sons. ISBN 9780471527350."]}
DOI: 10.5281/zenodo.5801593
title: AUTH-OpenDR Mixed Image Annotated Dataset for Human-centric Perception Tasks

description: The dataset was generated through a mixed (real and synthetic) image data generation method which utilizes real background images and DL-generated human models. It contains 50000 real images depicting urban scenes, populated by synthetic human models in various positions and poses and is suitable for training/evaluating (a) pose estimation, (b) person detection, (c) identity recognition methods. Annotations for 2D bounding boxes of the depicted humans, their IDs and 2D keypoints etc are provided. The 133 3D human models, required by the method, were generated using the Pixel-aligned Implicit Function (PIFu) and full-body images of people from the Clothing Co-Parsing (CCP) dataset. As background images, a subset of the Cityscapes dataset was used. The Cityscapes license prohibits the distribution of any modified versions of itself. Thus, we provide code that can re-generate the exact same dataset, given that the Cityscapes dataset is downloaded by the website of its authors. Code and instructions for re-generating the dataset are provided here. The dataset was developed by Aristotle University of Thessaloniki (AUTH) within the H2020 OpenDR Project.
description: Due to license restrictions regarding the Cityscapes dataset, we provide code, annotations and 3D human models, which can generate our dataset. The code, the annotations and the 3D human models are licensed under the Apache 2.0 License. https://www.apache.org/licenses/LICENSE-2.0 The final dataset is subjected to the original license of the authors of the Cityscapes dataset. https://www.cityscapes-dataset.com/license/
DOI: 10.5281/zenodo.5801594
title: AUTH-OpenDR Mixed Image Annotated Dataset for Human-centric Perception Tasks

description: The dataset was generated through a mixed (real and synthetic) image data generation method which utilizes real background images and DL-generated human models. It contains 50000 real images depicting urban scenes, populated by synthetic human models in various positions and poses and is suitable for training/evaluating (a) pose estimation, (b) person detection, (c) identity recognition methods. Annotations for 2D bounding boxes of the depicted humans, their IDs and 2D keypoints etc are provided. The 133 3D human models, required by the method, were generated using the Pixel-aligned Implicit Function (PIFu) and full-body images of people from the Clothing Co-Parsing (CCP) dataset. As background images, a subset of the Cityscapes dataset was used. The Cityscapes license prohibits the distribution of any modified versions of itself. Thus, we provide code that can re-generate the exact same dataset, given that the Cityscapes dataset is downloaded by the website of its authors. Code and instructions for re-generating the dataset are provided here. The dataset was developed by Aristotle University of Thessaloniki (AUTH) within the H2020 OpenDR Project.
description: Due to license restrictions regarding the Cityscapes dataset, we provide code, annotations and 3D human models, which can generate our dataset. The code, the annotations and the 3D human models are licensed under the Apache 2.0 License. https://www.apache.org/licenses/LICENSE-2.0 The final dataset is subjected to the original license of the authors of the Cityscapes dataset. https://www.cityscapes-dataset.com/license/
DOI: 10.5281/zenodo.7647597
title: Metrics As Scores Dataset: Price, weight, and other properties of over 1,200 ideal-cut and best-clarity diamonds

description: This dataset is a subset of the original diamonds dataset with more than 54,000 diamonds. It was reduced to only feature diamonds of the best cut (ideal) and clarity (IF). The context is now given by the colors from J (worst) to D (best). This dataset comes from the R-package ggplot2 (Wickham 2016). For each color, we can examine the following attributes (quantity types) of each diamond: Carat: Weight of the diamond Depth: Total depth percentage Price: Price in US dollars [discrete] Table: Width of top of diamond relative to widest point X: Length in mm Y: Width in mm Z: Depth in mm It has a total of 7 Colors (contexts): D, E, F, G, H, I, and J. The best color is D and the worst color is J. This dataset was created to analyze whether there are differences between the colors.
description: {"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Wickham, Hadley. 2016. \"ggplot2: Elegant Graphics for Data Analysis\". Springer-Verlag New York. https://ggplot2.tidyverse.org."]}
DOI: 10.5281/zenodo.7655192
title: Metrics As Scores Dataset: Price, weight, and other properties of over 1,200 ideal-cut and best-clarity diamonds

description: This dataset is a subset of the original diamonds dataset with more than 54,000 diamonds. It was reduced to only contain diamonds of the best cut (ideal) and clarity (IF). The group is now given by the colors from J (worst) to D (best). This dataset comes from the R-package ggplot2 (Wickham 2016). For each color, we can examine the following attributes (<strong>features</strong>) of each diamond: Carat: Weight of the diamond Depth: Total depth percentage Price: Price in US dollars [discrete] Table: Width of top of diamond relative to widest point X: Length in mm Y: Width in mm Z: Depth in mm It has a total of 7 Colors (<strong>groups</strong>): D, E, F, G, H, I, and J. The best color is D and the worst color is J. This dataset was created to analyze whether there are differences between the colors.
description: {"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Wickham, Hadley. 2016. \"ggplot2: Elegant Graphics for Data Analysis\". Springer-Verlag New York. https://ggplot2.tidyverse.org."]}
DOI: 10.5281/zenodo.7647596
title: Metrics As Scores Dataset: Price, Weight, and Other Properties of Over 1,200 Ideal-Cut and Best-Clarity Diamonds

description: This dataset is a subset of the original diamonds dataset with more than 54,000 diamonds. It was reduced to only contain diamonds of the best cut (ideal) and clarity (IF). The group is now given by the colors from J (worst) to D (best). This dataset comes from the R-package ggplot2 (Wickham 2016). For each color, we can examine the following attributes (<strong>features</strong>) of each diamond: <em>Carat</em>: Weight of the diamond <em>Depth</em>: Total depth percentage <em>Price</em>: Price in US dollars [discrete] <em>Table</em>: Width of top of diamond relative to widest point <em>X</em>: Length in mm <em>Y</em>: Width in mm <em>Z</em>: Depth in mm It has a total of 7 Colors (<strong>groups</strong>): <em>D</em>, <em>E</em>, <em>F</em>, <em>G</em>, <em>H</em>, <em>I</em>, and <em>J</em>. The best color is <em>D</em> and the worst color is <em>J</em>. This dataset was created to analyze whether there are differences between the colors.
description: {"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Wickham, Hadley. 2016. \"ggplot2: Elegant Graphics for Data Analysis\". Springer-Verlag New York. https://ggplot2.tidyverse.org."]}
DOI: 10.5281/zenodo.7669530
title: Metrics As Scores Dataset: Price, Weight, and Other Properties of Over 1,200 Ideal-Cut and Best-Clarity Diamonds

description: This dataset is a subset of the original diamonds dataset with more than 54,000 diamonds. It was reduced to only contain diamonds of the best cut (ideal) and clarity (IF). The group is now given by the colors from J (worst) to D (best). This dataset comes from the R-package ggplot2 (Wickham 2016). For each color, we can examine the following attributes (<strong>features</strong>) of each diamond: <em>Carat</em>: Weight of the diamond <em>Depth</em>: Total depth percentage <em>Price</em>: Price in US dollars [discrete] <em>Table</em>: Width of top of diamond relative to widest point <em>X</em>: Length in mm <em>Y</em>: Width in mm <em>Z</em>: Depth in mm It has a total of 7 Colors (<strong>groups</strong>): <em>D</em>, <em>E</em>, <em>F</em>, <em>G</em>, <em>H</em>, <em>I</em>, and <em>J</em>. The best color is <em>D</em> and the worst color is <em>J</em>. This dataset was created to analyze whether there are differences between the colors.
description: {"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Wickham, Hadley. 2016. \"ggplot2: Elegant Graphics for Data Analysis\". Springer-Verlag New York. https://ggplot2.tidyverse.org."]}
DOI: 10.5281/zenodo.7669538
title: datset related to article "NEUROSYPHILIS MIMICKING BEHAVIORAL VARIANT OF FRONTOTEMPORAL DEMENTIA IN A 59-YEAR-OLD MAN"

description: neuropsychological data (raw data) of patient involved in the study at title
DOI: 10.5281/zenodo.7669537
title: datset related to article "NEUROSYPHILIS MIMICKING BEHAVIORAL VARIANT OF FRONTOTEMPORAL DEMENTIA IN A 59-YEAR-OLD MAN"

description: neuropsychological data (raw data) of patient involved in the study at title
DOI: 10.17909/fmzs-q676
title: ALPAKA_ID2

description: ALPAKA_ID2
DOI: 10.4121/21939995
title: Training and validation datasets for training probabilistic machine learning models on NREL's 10-MW reference wind turbine

description: This repository consists of two databases- <strong>CASE-ONSHORE</strong> and <strong>CASE-OFFSHORE</strong>, generated using OpenFAST v2.4 on NREL's 10-MW reference wind turbine for training data-driven probabilistic load surrogate models. The data is to be used for mapping 10-minute average environmental conditions to the corresponding 10-minute load statistics such as load average, fatigue and range at various locations on the tower and blades. <br>
DOI: 10.5281/zenodo.7669553
title: Datset related to article "Magnetic Resonance-Guided Focused Ultrasound Thalamotomy May Spare Dopaminergic Therapy in Early-Stage Tremor-Dominant Parkinson's Disease: A Pilot Study"

description: clinical dataset with anonimyzed inormation on patients involved in the pilot study described at title
DOI: 10.5281/zenodo.7669552
title: Datset related to article "Magnetic Resonance-Guided Focused Ultrasound Thalamotomy May Spare Dopaminergic Therapy in Early-Stage Tremor-Dominant Parkinson's Disease: A Pilot Study"

description: clinical dataset with anonimyzed inormation on patients involved in the pilot study described at title