cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13273280.v1
title: VCF PIGS INDELs All

description: Whole Genome Sequencing dataset (VCF) from 5 Duroc pigs that sired the LIPGEN population
DOI: 10.6084/m9.figshare.13273289
title: VCF LIPGEN SNPs miRNAs

description: Whole Genome Sequencing dataset (VCF) from 5 Duroc pigs that sired the LIPGEN population. SNPs mapping to miRNA loci.
DOI: 10.6084/m9.figshare.13253840
title: European forest morphology, mosaic and connectivity Corine Land Cover 1990-2000-2006

description: The forest morphology is measured with a set of 4 indicators derived from the Morphological Spatial Pattern Application (MSPA) of the GUIDOS software (Soille and Vogt, 2009) with a width of 1 pixel: Core, Edge, Linear, Islet. <br><br>The forest mosaic is measured with a set of 3 indicators based on the forest spatial pattern and the composition in terms of agriculture, artificial and natural/semi-natural surfaces in the immediate surroundings (3x3 pixels): core natural, mixed natural, some natural. <br><br>The forest connectivity is measured with the Root Probability of Connectivity (RPC) index that quantifies the landscape functional connectivity based on forest patch area, its spatial configuration, inter-patch distances, matrix permeability and specific dispersal capabilities of generic groups of forest-dwelling species. The assessment applies inter-patch Euclidian distances, assuming a homogeneous non-forested matrix, and 50% of dispersal probability at the 1 km distance for forest-dwelling species. RPC is dimensionless and ranges from 0 to 1. <br><br>The area and the proportion of the all sets of indicators are reported for the forest cover extracted from Corine Land Cover at 100 m years 1990-2000-2006 (version 15, 08/2011), and aggregated per landscape units of 25 km by 25 km, per provinces (NUTS 2/3) and per country (NUTS 0).<br>
DOI: 10.6084/m9.figshare.13253840.v1
title: European forest morphology and mosaic 1990-2000-2006

description: The forest morphology is measured with a set of 4 indicators derived from the Morphological Spatial Pattern Application (MSPA) of the GUIDOS software (Soille and Vogt, 2009) with a width of 1 pixel: Core, Edge, Linear, Islet. The forest mosaic is measured with a set of 3 indicators based on the forest spatial pattern and the composition in terms of agriculture, artificial and natural/semi-natural surfaces in the immediate surroundings (3x3 pixels): core natural, mixed natural, some natural. The area and the proportion of the both sets of indicators are reported for the forest cover extracted from Corine Land Cover at 100 m years 1990-2000-2006 (version 15, 08/2011), and aggregated per landscape units of 25 km by 25 km, per provinces (NUTS 2/3) and per country (NUTS 0).
DOI: 10.5281/zenodo.4286416
title: Audio files for A Dataset of EEG and EOG recordings from an Auditory EOG-based Communication System for Patients in Locked-In State

description: Origin of the data These Audio files are related to the publication "A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state" by Andres Jaramillo-Gonzalez, Shize Wu, Alessandro Tonin, Aygul Rana, Majid Khalili-Ardali, Niels Birbaumer, and Ujwal Chaudhary. To use the audio data, please contact Dr. Ujwal Chaudhary, as mentioned in the manuscript. Details of the data The description of the nature and details of the *.txt files are in the section "Data Records" of the manuscript. As mentioned in the manuscript, before the beginning of the study, at least 100 questions with known "yes" or "no" answers were formulated and recorded with a family member or caretaker's voice close to the patient. Each question with a "yes" answer is paired with a similar question with a "no" answer (e.g., "Paris is the capital of France" and "Berlin is the capital of France"). Each question is saved as an audio file with an explicit identifier, a question with a "yes" answer is saved with a 001_NUMBER identifier, and a question with a "no" answer is saved with a 002_NUMBER identifier. The NUMBER label is composed of 5 digits; the first two determine the number of the patient, and the last three digits indicate the number of the question. The value of the label NUMBER is the same for a semantically paired sentence. In the example, "001_11007.wav" indicates a "yes" type of answer, question number 07 from P11. Sentences are then placed in a specific folder of the used laptop's storage, accessed and played by the communication system along with the sessions during sentence presentation.
DOI: 10.5281/zenodo.4286415
title: Audio files for A Dataset of EEG and EOG recordings from an Auditory EOG-based Communication System for Patients in Locked-In State

description: Origin of the data These Audio files are related to the publication "A dataset of EEG and EOG from an auditory EOG-based communication system for patients in locked-in state" by Andres Jaramillo-Gonzalez, Shize Wu, Alessandro Tonin, Aygul Rana, Majid Khalili-Ardali, Niels Birbaumer, and Ujwal Chaudhary. To use the audio data, please contact Dr. Ujwal Chaudhary, as mentioned in the manuscript. Details of the data The description of the nature and details of the *.txt files are in the section "Data Records" of the manuscript. As mentioned in the manuscript, before the beginning of the study, at least 100 questions with known "yes" or "no" answers were formulated and recorded with a family member or caretaker's voice close to the patient. Each question with a "yes" answer is paired with a similar question with a "no" answer (e.g., "Paris is the capital of France" and "Berlin is the capital of France"). Each question is saved as an audio file with an explicit identifier, a question with a "yes" answer is saved with a 001_NUMBER identifier, and a question with a "no" answer is saved with a 002_NUMBER identifier. The NUMBER label is composed of 5 digits; the first two determine the number of the patient, and the last three digits indicate the number of the question. The value of the label NUMBER is the same for a semantically paired sentence. In the example, "001_11007.wav" indicates a "yes" type of answer, question number 07 from P11. Sentences are then placed in a specific folder of the used laptop's storage, accessed and played by the communication system along with the sessions during sentence presentation.
DOI: 10.5281/zenodo.4286460
title: KEvOr dataset

description: The Kinect Evaluation in Orchard conditions (KEvOr) dataset is comprised of a set of RGB-D captures carried out with the Microsoft Kinect v2 to evaluate the performance of this sensor at different lighting conditions in agricultural orchards and from different distances to the measured target.<br> Three Microsoft Kinect v2 sensors (K2S1, K2S2 and K2S3) were used to scan Fuji apple trees along the afternoon and evening, from the higher sun illuminance (55000 lux) until achieving dark conditions (0.1 lux), obtaining a total of 252 captures: 28 lighting conditions * 3 sensors * 3 repetitions. The data provided for each capture is: the acquired point cloud, illuminance level at the center of the measured scene, and wind speed.<br> The sensors where placed as follows:<br> K2S1: Oriented to the north, measuring the row of trees side under direct sunlight. This sensor was placed at 2.5 m from the measured target.<br> K2S2: Oriented to the north, measuring the row of trees side under direct sunlight. This sensor was placed at 1.5 m from the measured target.<br> K2S3 Oriented to the south, measuring the row of trees side under indirect sunlight. This sensor was placed at 2.5 m from the measured target.<br> The dataset also includes two additional registered captures measuring the same scene from 1.5 m and from 2.5 m.
DOI: 10.5281/zenodo.4286459
title: KEvOr dataset

description: The Kinect Evaluation in Orchard conditions (KEvOr) dataset is comprised of a set of RGB-D captures carried out with the Microsoft Kinect v2 to evaluate the performance of this sensor at different lighting conditions in agricultural orchards and from different distances to the measured target.<br> Three Microsoft Kinect v2 sensors (K2S1, K2S2 and K2S3) were used to scan Fuji apple trees along the afternoon and evening, from the higher sun illuminance (55000 lux) until achieving dark conditions (0.1 lux), obtaining a total of 252 captures: 28 lighting conditions * 3 sensors * 3 repetitions. The data provided for each capture is: the acquired point cloud, illuminance level at the center of the measured scene, and wind speed.<br> The sensors where placed as follows:<br> K2S1: Oriented to the north, measuring the row of trees side under direct sunlight. This sensor was placed at 2.5 m from the measured target.<br> K2S2: Oriented to the north, measuring the row of trees side under direct sunlight. This sensor was placed at 1.5 m from the measured target.<br> K2S3 Oriented to the south, measuring the row of trees side under indirect sunlight. This sensor was placed at 2.5 m from the measured target.<br> The dataset also includes two additional registered captures measuring the same scene from 1.5 m and from 2.5 m.
DOI: 10.5517/ccdc.csd.cc1kkt1z
title: CCDC 1447081: Experimental Crystal Structure Determination

description: Related Article: Xiaoyan Zou, Bowen Fei, Guangming Li|2020|Polyhedron|192|114811|doi:10.1016/j.poly.2020.114811
DOI: 10.5517/ccdc.csd.cc1kkt20
title: CCDC 1447082: Experimental Crystal Structure Determination

description: Related Article: Xiaoyan Zou, Bowen Fei, Guangming Li|2020|Polyhedron|192|114811|doi:10.1016/j.poly.2020.114811
DOI: 10.5517/ccdc.csd.cc1kkt31
title: CCDC 1447083: Experimental Crystal Structure Determination

description: Related Article: Xiaoyan Zou, Bowen Fei, Guangming Li|2020|Polyhedron|192|114811|doi:10.1016/j.poly.2020.114811
DOI: 10.5517/ccdc.csd.cc24jk19
title: CCDC 1982110: Experimental Crystal Structure Determination

description: Related Article: Sin-Min Li, Shuo-En Tsai, Chia-Yin Chiang, Cheng-Yen Chung, Tsung-Jui Chuang, Ching-Chun Tseng, Wen-Ping Jiang, Guan-Jhong Huang, Chin-Yu Lin, Ya-Chen Yang, Mao-Tsu Fuh, Fung-Fuh Wong|2020|Bioorg.Chem.|104|104333|doi:10.1016/j.bioorg.2020.104333
DOI: 10.5517/ccdc.csd.cc24rbbl
title: CCDC 1988629: Experimental Crystal Structure Determination

description: Related Article: Xia Liu, Xiaoping Yang, Yanan Ma, Jieni Liu, Dongliang Shi, Mengyu Niu, Desmond Schipper|2021|J.Lumin.|229|117679|doi:10.1016/j.jlumin.2020.117679
DOI: 10.5517/ccdc.csd.cc24sldy
title: CCDC 1989840: Experimental Crystal Structure Determination

description: Related Article: Xia Liu, Xiaoping Yang, Yanan Ma, Jieni Liu, Dongliang Shi, Mengyu Niu, Desmond Schipper|2021|J.Lumin.|229|117679|doi:10.1016/j.jlumin.2020.117679
DOI: 10.5517/ccdc.csd.cc1pp8f2
title: CCDC 1569574: Experimental Crystal Structure Determination

description: Related Article: Jia Luo, Giang N. Tran, Nigam P. Rath, Liviu M. Mirica|2020|Inorg.Chem.|59|15659|doi:10.1021/acs.inorgchem.0c01938
DOI: 10.5517/ccdc.csd.cc25fs0f
title: CCDC 2009234: Experimental Crystal Structure Determination

description: Related Article: Zhi Long Ma, Jian Yun Shi, Meng Chen Wang, Li Tian|2020|Dyes Pigm.|185|108930|doi:10.1016/j.dyepig.2020.108930
DOI: 10.5517/ccdc.csd.cc25kgt1
title: CCDC 2012793: Experimental Crystal Structure Determination

description: Related Article: William J. Robinson, Annie E. Taylor, Solange Lauga-Cami, George W. Weaver, Randolph R.J. Arroo, Marcel Kaiser, Sheraz Gul, Maria Kuzikov, Bernhard Ellinger, Kuldip Singh, Tanja Schirmeister, Adolfo Botana, Chatchakorn Eurtivong, Avninder S. Bhambra|2021|Eur.J.Med.Chem.|209|112871|doi:10.1016/j.ejmech.2020.112871
DOI: 10.5517/ccdc.csd.cc25r469
title: CCDC 2018230: Experimental Crystal Structure Determination

description: Related Article: Sasikarn Hanprasit, Nobuto Yoshinari, Takumi Konno|2020|Inorg.Chem.|59|15788|doi:10.1021/acs.inorgchem.0c02235
DOI: 10.5517/ccdc.csd.cc25zvvw
title: CCDC 2025659: Experimental Crystal Structure Determination

description: Related Article: Nathan J. O'Brien, Yoichiro Koda, Hiroaki Maeda, Naokazu Kano|2020|Polyhedron|192|114841|doi:10.1016/j.poly.2020.114841
DOI: 10.5517/ccdc.csd.cc25r458
title: CCDC 2018229: Experimental Crystal Structure Determination

description: Related Article: Sasikarn Hanprasit, Nobuto Yoshinari, Takumi Konno|2020|Inorg.Chem.|59|15788|doi:10.1021/acs.inorgchem.0c02235
DOI: 10.5517/ccdc.csd.cc2600nx
title: CCDC 2025808: Experimental Crystal Structure Determination

description: Related Article: Peipei Zhu, Chang Liu, Mingqi Xu, Zhibo Tong, Jing-Quan Sha|2020|Inorg.Chem.|59|15579|doi:10.1021/acs.inorgchem.0c02702
DOI: 10.5517/ccdc.csd.cc1myr2d
title: CCDC 1518134: Experimental Crystal Structure Determination

description: Related Article: Peipei Zhu, Chang Liu, Mingqi Xu, Zhibo Tong, Jing-Quan Sha|2020|Inorg.Chem.|59|15579|doi:10.1021/acs.inorgchem.0c02702
DOI: 10.5517/ccdc.csd.cc2600mw
title: CCDC 2025807: Experimental Crystal Structure Determination

description: Related Article: Peipei Zhu, Chang Liu, Mingqi Xu, Zhibo Tong, Jing-Quan Sha|2020|Inorg.Chem.|59|15579|doi:10.1021/acs.inorgchem.0c02702
DOI: 10.5517/ccdc.csd.cc2600s1
title: CCDC 2025812: Experimental Crystal Structure Determination

description: Related Article: Peipei Zhu, Chang Liu, Mingqi Xu, Zhibo Tong, Jing-Quan Sha|2020|Inorg.Chem.|59|15579|doi:10.1021/acs.inorgchem.0c02702
DOI: 10.5281/zenodo.4286355
title: Dataset for "Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea"

description: This repository contains the seismograms of the Korea Institute of Geoscience and Mineral Resources (KIGAM) and the Korea Institute of Nuclear Safety (KINS) used in Son et al. (2020). The uploaded waveforms were filtered according to the Supporting Information of Son et al. (2020). Continuous waveforms are available via the Korea Meteorological Administration (KMA; http://necis.kma.go.kr). Suggested citation: Son, M., Cho, C. S., Lee, H. K., Han, M., Shin, J. S., Kim, K., Kim, S. (2020). Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea. Journal of Geophysical Research: Solid Earth, e2020JB020005. https://doi.org/10.1029/2020JB020005
description: {"references": ["Son, M. et al. (2020). Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea. JGR: Solid Earth. https://doi.org/10.1029/2020JB020005"]}
DOI: 10.5281/zenodo.4286354
title: Dataset for "Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea"

description: This repository contains the seismograms of the Korea Institute of Geoscience and Mineral Resources (KIGAM) and the Korea Institute of Nuclear Safety (KINS) used in Son et al. (2020). The uploaded waveforms were filtered according to the Supporting Information of Son et al. (2020). Continuous waveforms are available via the Korea Meteorological Administration (KMA; http://necis.kma.go.kr). Suggested citation: Son, M., Cho, C. S., Lee, H. K., Han, M., Shin, J. S., Kim, K., Kim, S. (2020). Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea. Journal of Geophysical Research: Solid Earth, e2020JB020005. https://doi.org/10.1029/2020JB020005
description: {"references": ["Son, M. et al. (2020). Partitioned fault movement and aftershock triggering: evidence for fault interactions during the 2017 Mw 5.4 Pohang earthquake, South Korea. JGR: Solid Earth. https://doi.org/10.1029/2020JB020005"]}
DOI: 10.5519/qd.i2ep4j7v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1347727 records)
DOI: 10.21227/0s3q-sg38
title: GeoNRW

description: This dataset consists of orthorectified aerial photographs, LiDAR derived digital elevation models and segmentation maps with 10 classes, acquired through the open data program of the German state North Rhine-Westphalia (https://www.opengeodata.nrw.de/produkte/) and refined with OpenStreeMap. Please check the license information (http://www.govdata.de/dl-de/by-2-0). Preprocessing consists of resampling the 0.1m resolution photographs to 1m, taking the first LiDAR return while averaging within 1m² to arrive at the same resolution as the photographs, and rasterizing vector files of the land cover data. In total the dataset consists of 7783 triplets of size 1000x1000 pixels.
DOI: 10.21227/mw9r-sb87
title: GeoNRW

description: This dataset consists of orthorectified aerial photographs, LiDAR derived digital elevation models and segmentation maps with 10 classes, acquired through the open data program of the German state North Rhine-Westphalia (https://www.opengeodata.nrw.de/produkte/) and refined with OpenStreeMap. Please check the license information (http://www.govdata.de/dl-de/by-2-0). Preprocessing consists of resampling the 0.1m resolution photographs to 1m, taking the first LiDAR return while averaging within 1m² to arrive at the same resolution as the photographs, and rasterizing vector files of the land cover data. In total the dataset consists of 7783 triplets of size 1000x1000 pixels.
DOI: 10.21227/rnc2-2w09
title: Subjective and Objective Quality Assessment of the SoftCast Video Transmission Scheme

description: SoftCast-based linear video coding and transmission (LVCT) schemes have been proposed as a promising alternative to traditional video coding and transmission schemes in wireless environments. Currently, the performance of LVCT schemes is evaluated by means of traditional objective scores such as PSNR or SSIM. Nevertheless, since the compression is performed in a very different way from traditional coding schemes such as HEVC, visual artifacts are also quite different and deserve to be subjectively assessed.In this paper, we propose a subjective quality assessment of SoftCast, pioneer and standard of the LVCT schemes. This study aims to better understand the tradeoffs between the LVCT parameters that can be tuned to improve the quality. These parameters, including different GoP-sizes, Compression Ratios (CR) and Channel Signal-to-Noise Ratio (CSNR), are used to generate a dataset of 85 videos. A Double Stimulus Impairment Scale (DSIS) test is performed on the received videos to assess the perceived quality. Results show that the key characteristic of SoftCast, the linear relation between CSNR and PSNR, is also observed with the Mean-Opinion Scores (MOS), except at high CSNR where the quality saturates. In addition, Bjøntegaard model is used to quantify the trade-offs between CR, GoP-size and CSNR, depending on the intended application. Finally, the performance of objective metrics compared to the obtained MOS is evaluated. Results show that Multi-Scale SSIM (MS-SSIM), SSIM and Video Multimethod Assessment Fusion (VMAF) metrics offer the best correlation with the MOS values.
DOI: 10.6084/m9.figshare.12937340
title: SNP, SV and scripts for RYP1 genome paper

description: The SNP files of 149 peach and wild 37 relatives (Prunus kansuensis) were generated by GATK v4.0 pipeline. The SNP sites were filtered by missing rate (&lt;50%) and maf (&gt;0.05). The reference genome is Rui You Pan1 genome. The SVs were called by MantaSV and were genotyped by Paragraph.
DOI: 10.6084/m9.figshare.12937340.v2
title: SNP, SV and scripts for RYP1 genome paper

description: The SNP files of 149 peach and wild 37 relatives (Prunus kansuensis) were generated by GATK v4.0 pipeline. The SNP sites were filtered by missing rate (&lt;50%) and maf (&gt;0.05). The reference genome is Rui You Pan1 genome. The SVs were called by MantaSV and were genotyped by Paragraph.
DOI: 10.5282/ubm/data.135
title: Meinungsbild zu den Digital Humanities in der Geschichte und Kunstgeschichte an der LMU München

description: Im Rahmen des Multiplikatoren-Programms der LMU wurde im Zeitraum 05/2017-04/2019 an der Fakultät 09 (Geschichts- und Kunstwissenschaften) ein Projekt mit dem Ziel durchgeführt, Lehrinhalte und Lernziele zu definieren, darauf aufbauend ein Curriculum für einen DH-Zertifikatsstudiengang zu entwerfen und diesen schließlich an der Fakultät für Geschichts- und Kunstwissenschaften einzurichten. In einem frühen Stadium des Projekts wurde eine Umfrage unter den Studierenden und Lehrenden in den Fachbereichen Geschichte und Kunstgeschichte durchgeführt. Ziel der Umfrage war es, 1.) die Studierenden und Lehrenden über das geplante Vorhaben zu informieren, 2.) eine breite und differente Öffentlichkeit zu einer Reflexion über die Veränderungen durch den Einzug des Digitalen in Forschung und Lehre einzuladen und 3.) ihre Wünsche, Erwartungen aber auch Bedenken von Beginn an in den Ausarbeitungsprozess einfließen zu lassen. Da die Ergebnisse der Umfrage über den ursprünglichen Kontext hinaus von Interesse sein können, werden Sie an dieser Stelle der Öffentlichkeit zugänglich gemacht.
DOI: 10.5281/zenodo.4286633
title: All vs all matrix of tanimoto scores for GNPS AllPositive dataset

description: All vs all matrix of tanimoto scores of the "AllPositive" dataset, created from GNPS positive ionmode mass spectra (95320 spectra after filtering). To simplify this matrix, all spectra are grouped by the first 14 characters of their respective inchikeys, which leaves 12,846 inchikeys. A lookup table, the metadata file, is provided that records which row/column of the matrix corresponds to which inchikey.
DOI: 10.5281/zenodo.4286949
title: All vs all matrix of tanimoto scores for GNPS AllPositive dataset

description: All vs all matrix of tanimoto scores of the "AllPositive" dataset, created from GNPS positive ionmode mass spectra (95320 spectra after filtering). To simplify this matrix, all spectra are grouped by the first 14 characters of their respective inchikeys, which leaves 12,846 inchikeys. In version 2 a lookup table, the metadata file, is provided that records which row/column of the matrix corresponds to which inchikey.
DOI: 10.5281/zenodo.4286632
title: All vs all matrix of tanimoto scores for GNPS AllPositive dataset

description: All vs all matrix of tanimoto scores of the "AllPositive" dataset, created from GNPS positive ionmode mass spectra (95320 spectra after filtering). To simplify this matrix, all spectra are grouped by the first 14 characters of their respective inchikeys, which leaves 12,846 inchikeys. In version 2 a lookup table, the metadata file, is provided that records which row/column of the matrix corresponds to which inchikey.
DOI: 10.5445/ir/1000125860
title: Appendix (SriAS2Practice): Code & Daten zur Verknüpfung der Videos bei Veröffentlichung auf einem Web-Server

description: Unter Verwendung der im ZIP-File bereitgestellten Informationen bzw. Anwendungen, lassen sich die im Forschungsverbund zur Selbstregulation im Alltag von Studierenden (SriAS 2 Practice, gefördert vom BMBF) produzierten Kurzvideos miteinander verknüpfen. Sofern die vier Videos der Serie (siehe Verweise zur Relation) gemeinsam präsentiert werden sollen, lässt sich die Verknüpfung unter Verwendung der hier bereitgestellten Sekundärinformation leicht umsetzen.
DOI: 10.6084/m9.figshare.13274684
title: Figure 2

description: Polycarbonate test results
DOI: 10.6084/m9.figshare.13274678
title: Figure 1

description: Friction properties <br>
DOI: 10.6084/m9.figshare.13274678.v2
title: Figure 1

description: Friction properties <br>
DOI: 10.6084/m9.figshare.13274678.v1
title: Figure 1.xlsx

description: Friction properties <br>
DOI: 10.6084/m9.figshare.13273277
title: Training set for label-free nuclei segmentation

description: An R object (list) containing two matrices (tensors) corresponding the untiled brightfield images and their computed mask<br>
DOI: 10.6084/m9.figshare.13273277.v1
title: Training set for label-free nuclei segmentation

description: An R object (list) containing two matrices (tensors) corresponding the untiled brightfield images and their computed mask<br>
DOI: 10.6084/m9.figshare.13274693
title: Figure 3

description: Granite test results
DOI: 10.6084/m9.figshare.13274693.v1
title: Figure 3

description: Granite test results