cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/7p6w-2j39
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). Lubricant - DISTILLED WATER. Specim. set K02

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: DISTILLED WATER. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K02
DOI: 10.34808/s7tc-bp12
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). Lubricant - DISTILLED WATER. Specim. set K06

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: DISTILLED WATER. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K06
DOI: 10.34808/7cax-d435
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). Lubricant - DISTILLED WATER. Specim. set K06

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: DISTILLED WATER. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K06
DOI: 10.34808/3r34-1s94
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). No lubrication (DRY). Specim. set K05

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: DRY. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K05
DOI: 10.34808/6z9e-z347
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). Lubricant - PARAFFIN OIL. Specim. set K08

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: PARAFFIN OIL. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K08
DOI: 10.34808/8bkp-h143
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). Lubricant - PARAFFIN OIL. Specim. set K09

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: PARAFFIN OIL. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K09
DOI: 10.34808/r5zz-qs50
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). No lubrication (DRY). Specim. set K01

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: DRY. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K01
DOI: 10.34808/7fgv-g450
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). No lubrication (DRY). Specim. set K03

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: DRY. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K03
DOI: 10.34808/zhb9-n881
title: Optical microsc. images of wear marks on ball (JPG). Reciprocating siding friction tests. Ball-on-flat contact. Sintered alumina ceramics (98%). No lubrication (DRY). Specim. set K04

description: Optical microscope images of wear zone on the 5mm diam. ceramic ball used in tests as the fixed specimen.Friction and wear tests in ball-on-flat contact. Both specimens made of sintered alumina ceramics (98%) - self-mated contact.Linear reciprocating motion.Lubrication: DRY. Sliding velocity (peak): 0.1 m/s. Load (normal force): 5N. Test rig: TPZ-1 Tribometer.Running time: progressive increments of 10, 15, 30, 60, 180 and 300s. Wear mark examination at each intermission between test segments.Specimen set K04
DOI: 10.34740/kaggle/dsv/2285917
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.4870820
title: ACMUS YouTube Set

description: The ACMUS YouTube Set is a link selection of music taken from YouTube videos. The data set currently contains a total of 153 segments of annotated music. The data set was compiled to support the development of computational methods for two main tasks: 1) Instrumental format recognition, and 2) Vocal music classification. For more information about our project, please visit our website and github.
description: This work has been partially supported by the German Research Foundation (BR 1333/20-1, CA 2096/1-1).
DOI: 10.5281/zenodo.4870819
title: ACMUS YouTube Set

description: The ACMUS YouTube Set is a link selection of music taken from YouTube videos. The data set currently contains a total of 153 segments of annotated music. The data set was compiled to support the development of computational methods for two main tasks: 1) Instrumental format recognition, and 2) Vocal music classification. For more information about our project, please visit our website and github.
description: This work has been partially supported by the German Research Foundation (BR 1333/20-1, CA 2096/1-1).
DOI: 10.5281/zenodo.4791394
title: ACMUS-MIR: An annotated data set of Andean Colombian music

description: The ACMUS-MIR data set is a selection of music taken from the Músicas Regionales Archive in Medellin, Colombia. The data set currently contains a total of 624 segments of annotated music. The data set was compiled to support the development of computational methods for four main tasks: 1) Recognition of simple and compound meters, 2) Instrumental format recognition, 3) Scale detection, and 4) Vocal music classification. For this reason, the ACMUS-MIR data set currently comprises four independent sets (one for each task): the rhythm set, the instrumental format set, the scale set, and the vocal format set. For more information about our project, please visit our website and github. For additional datasets from the ACMUS project, see: Sesquialtera in the Colombian bambuco: Perception and estimation of beat and meter
description: This work has been partially supported by the German Research Foundation (BR 1333/20-1, CA 2096/1-1).
DOI: 10.5281/zenodo.3268960
title: ACMUS-MIR: An annotated data set of Andean Colombian music

description: The ACMUS-MIR data set is a selection of music taken from the Músicas Regionales Archive in Medellin, Colombia. The data set currently contains a total of 624 segments of annotated music. The data set was compiled to support the development of computational methods for four main tasks: 1) Recognition of simple and compound meters, 2) Instrumental format recognition, 3) Scale detection, and 4) Vocal music classification. For this reason, the ACMUS-MIR data set currently comprises four independent sets (one for each task): the rhythm set, the instrumental format set, the scale set, and the vocal format set. For more information about our project, please visit our website and github. For additional datasets from the ACMUS project, see: Sesquialtera in the Colombian bambuco: Perception and estimation of beat and meter
description: This work has been partially supported by the German Research Foundation (BR 1333/20-1, CA 2096/1-1).
DOI: 10.6084/m9.figshare.14703360
title: Tabla 4. Recomendaciones pedagógicas para el desarrollo de contenido digital

description: Tabla que muestra percepciones de asesores en línea sobre el desarrollo de contenido digital
DOI: 10.6084/m9.figshare.14703360.v1
title: Tabla 4. Recomendaciones pedagógicas para el desarrollo de contenido digital

description: Tabla que muestra percepciones de asesores en línea sobre el desarrollo de contenido digital
DOI: 10.5517/ccdc.csd.cc271gc4
title: CCDC 2056985: Experimental Crystal Structure Determination

description: Related Article: Meng Sun, Shu Zhang, Kai-Yao Wang, Juan Wang, Lin Cheng, Jia-Ying Zhu, Yi-Ming Zhao, Cheng Wang|2021|Inorg.Chem.|60|7115|doi:10.1021/acs.inorgchem.1c00171
DOI: 10.25505/fiz.icsd.cc271gd5
title: CCDC 2056986: Experimental Crystal Structure Determination

description: Related Article: Meng Sun, Shu Zhang, Kai-Yao Wang, Juan Wang, Lin Cheng, Jia-Ying Zhu, Yi-Ming Zhao, Cheng Wang|2021|Inorg.Chem.|60|7115|doi:10.1021/acs.inorgchem.1c00171
DOI: 10.5517/ccdc.csd.cc26z2hs
title: CCDC 2054695: Experimental Crystal Structure Determination

description: Related Article: Fei-Fei Wang, Ying-Ying Liu, Wen-Yuan Pei, Jian-Fang Ma|2021|Inorg.Chem.|60|7329|doi:10.1021/acs.inorgchem.1c00497
DOI: 10.5517/ccdc.csd.cc26z2jt
title: CCDC 2054696: Experimental Crystal Structure Determination

description: Related Article: Fei-Fei Wang, Ying-Ying Liu, Wen-Yuan Pei, Jian-Fang Ma|2021|Inorg.Chem.|60|7329|doi:10.1021/acs.inorgchem.1c00497
DOI: 10.5517/ccdc.csd.cc26z2kv
title: CCDC 2054697: Experimental Crystal Structure Determination

description: Related Article: Fei-Fei Wang, Ying-Ying Liu, Wen-Yuan Pei, Jian-Fang Ma|2021|Inorg.Chem.|60|7329|doi:10.1021/acs.inorgchem.1c00497
DOI: 10.5517/ccdc.csd.cc26z2lw
title: CCDC 2054698: Experimental Crystal Structure Determination

description: Related Article: Fei-Fei Wang, Ying-Ying Liu, Wen-Yuan Pei, Jian-Fang Ma|2021|Inorg.Chem.|60|7329|doi:10.1021/acs.inorgchem.1c00497
DOI: 10.5517/ccdc.csd.cc26z2mx
title: CCDC 2054699: Experimental Crystal Structure Determination

description: Related Article: Fei-Fei Wang, Ying-Ying Liu, Wen-Yuan Pei, Jian-Fang Ma|2021|Inorg.Chem.|60|7329|doi:10.1021/acs.inorgchem.1c00497
DOI: 10.5517/ccdc.csd.cc271g92
title: CCDC 2056983: Experimental Crystal Structure Determination

description: Related Article: Meng Sun, Shu Zhang, Kai-Yao Wang, Juan Wang, Lin Cheng, Jia-Ying Zhu, Yi-Ming Zhao, Cheng Wang|2021|Inorg.Chem.|60|7115|doi:10.1021/acs.inorgchem.1c00171
DOI: 10.5517/ccdc.csd.cc26nwf6
title: CCDC 2045858: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5517/ccdc.csd.cc26nwg7
title: CCDC 2045859: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5517/ccdc.csd.cc26nwh8
title: CCDC 2045860: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5517/ccdc.csd.cc26nwj9
title: CCDC 2045861: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5517/ccdc.csd.cc26nwkb
title: CCDC 2045862: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5517/ccdc.csd.cc26nwlc
title: CCDC 2045863: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5517/ccdc.csd.cc26nwmd
title: CCDC 2045864: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5517/ccdc.csd.cc26nwnf
title: CCDC 2045865: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5517/ccdc.csd.cc26nwpg
title: CCDC 2045866: Experimental Crystal Structure Determination

description: Related Article: Xue-Zhen Zhang, Xiao-Feng Wang, Wei-Hui Fang, Jian Zhang|2021|Inorg.Chem.|60|7089|doi:10.1021/acs.inorgchem.0c03816
DOI: 10.5281/zenodo.4871777
title: Human Foraging Experiment Dataset

description: Chimpanzees are our closest living relatives and have been extensively used in research into the evolution of humans. Although chimpanzees and humans share many of the same cognitive abilities, how they compare in solving spatial tasks is unclear to date. Therefore this study conducted a human physical simulation method that resembles foraging patterns of chimpanzees to enable comparing these spatiotemporal cognitive abilities. Furthermore, this study aimed to interpret animal movement and spatiotemporal cognitive abilities by relating revisit intervals to cognitive processes such as learning and memory. For this, two variables, constancy and contingency, have been used to reflect search efficiency, and their values were used to make inferences about the cognitive abilities of humans and chimpanzees. Ultimately, this study investigated how the average patterns in revisit constancy and contingency relate to the spatiotemporal cognitive abilities of chimpanzees, and how this compares to those of humans. These results are highly valuable in addressing the aforementioned existing knowledge gaps, but the novel stimulation method additionally provides a great perspective for future research into animal movement. This dataset contains the data obtained from the human foraging experiment that was conducted for the Bachelor's thesis: "<em>Using Recursive Movement Data to Study Animal Cognition: Assessing a New Method to Compare Spatiotemporal Intelligence of Humans and Chimpanzees ".</em>
DOI: 10.5281/zenodo.4864764
title: Human Foraging Experiment Dataset

description: Chimpanzees are our closest living relatives and have been extensively used in research into the evolution of humans. Although chimpanzees and humans share many of the same cognitive abilities, how they compare in solving spatial tasks is unclear to date. Therefore this study conducted a human physical simulation method that resembles foraging patterns of chimpanzees to enable comparing these spatiotemporal cognitive abilities. Furthermore, this study aimed to interpret animal movement and spatiotemporal cognitive abilities by relating revisit intervals to cognitive processes such as learning and memory. For this, two variables, constancy and contingency, have been used to reflect search efficiency, and their values were used to make inferences about the cognitive abilities of humans and chimpanzees. Ultimately, this study investigated how the average patterns in revisit constancy and contingency relate to the spatiotemporal cognitive abilities of chimpanzees, and how this compares to those of humans. These results are highly valuable in addressing the aforementioned existing knowledge gaps, but the novel stimulation method additionally provides a great perspective for future research into animal movement. This dataset contains the data obtained from the human foraging experiment that was conducted for the Bachelor's thesis: "<em>Using Recursive Movement Data to Study Animal Cognition: Assessing a New Method to Compare Spatiotemporal Intelligence of Humans and Chimpanzees ".</em>
DOI: 10.34740/kaggle/dsv/2286146
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.4872619
title: Rail-5k: a Real-World Dataset for Railway Surface Defects Detection

description: To encourage research in computer vision for the railway, we present Rail-5k: a real-world image dataset for object detection of defects and accessories on the rail, along with methods for shooting, fine-frained category definition, and instance-level annotation.<br> We collected 5,000 high-quality RGB images from high-speed railway and subway across China, where each image with resolution as high as 0.03mm per pixel. <br> We annotate 1100 images with 13 types of defects and accessories that are the most important to rail maintenance such as rail surface, wheel-rail contact band, crack, spalling, corrugation, fastening, screw.<br> The dataset is superior to existing datasets in image quantity, resolution, annotation quality, dense and small objects. <br> It also contains real-world corrupted images with dark, overexposure, blur, other tools, different lens distance, category transition, different screws, which are infeasible for non-experts to annotate and recognize.<br> As a pilot study of rail defect detection, we perform comprehensive experiments using SOTA models.<br> Our experiments demonstrate several challenges Rail-5k posed to both computer vision and railway engineering. Future versions of this dataset will include even more images, segmentation annotations as well as more channels.
DOI: 10.5281/zenodo.4872772
title: Rail-5k: a Real-World Dataset for Railway Surface Defects Detection

description: To encourage research in computer vision for the railway, we present Rail-5k: a real-world image dataset for object detection of defects and accessories on the rail, along with methods for shooting, fine-frained category definition, and instance-level annotation.<br> We collected 5,000 high-quality RGB images from high-speed railway and subway across China, where each image with resolution as high as 0.03mm per pixel. <br> We annotate 1100 images with 13 types of defects and accessories that are the most important to rail maintenance such as rail surface, wheel-rail contact band, crack, spalling, corrugation, fastening, screw.<br> The dataset is superior to existing datasets in image quantity, resolution, annotation quality, dense and small objects. <br> It also contains real-world corrupted images with dark, overexposure, blur, other tools, different lens distance, category transition, different screws, which are infeasible for non-experts to annotate and recognize.<br> As a pilot study of rail defect detection, we perform comprehensive experiments using SOTA models.<br> Our experiments demonstrate several challenges Rail-5k posed to both computer vision and railway engineering. Future versions of this dataset will include even more images, segmentation annotations as well as more channels.
DOI: 10.5281/zenodo.4872618
title: Rail-5k: a Real-World Dataset for Railway Surface Defects Detection

description: To encourage research in computer vision for the railway, we present Rail-5k: a real-world image dataset for object detection of defects and accessories on the rail, along with methods for shooting, fine-frained category definition, and instance-level annotation.<br> We collected 5,000 high-quality RGB images from high-speed railway and subway across China, where each image with resolution as high as 0.03mm per pixel. <br> We annotate 1100 images with 13 types of defects and accessories that are the most important to rail maintenance such as rail surface, wheel-rail contact band, crack, spalling, corrugation, fastening, screw.<br> The dataset is superior to existing datasets in image quantity, resolution, annotation quality, dense and small objects. <br> It also contains real-world corrupted images with dark, overexposure, blur, other tools, different lens distance, category transition, different screws, which are infeasible for non-experts to annotate and recognize.<br> As a pilot study of rail defect detection, we perform comprehensive experiments using SOTA models.<br> Our experiments demonstrate several challenges Rail-5k posed to both computer vision and railway engineering. Future versions of this dataset will include even more images, segmentation annotations as well as more channels.
DOI: 10.6084/m9.figshare.14541030
title: Maternally-transferred antibodies in red deer

description: Individual phenotypic data on neonatal circulating antibody levels in red deer (<i>Cervus elaphus</i>), and associated pedigree data. See ‘Data_description.txt’ for more details. Please contact the authors if you plan to use this data.<br>
DOI: 10.6084/m9.figshare.14541030.v1
title: Maternally-transferred antibodies in red deer

description: Individual phenotypic data on neonatal circulating antibody levels in red deer (<i>Cervus elaphus</i>), and associated pedigree data. See ‘Data_description.txt’ for more details. Please contact the authors if you plan to use this data.<br>
DOI: 10.6084/m9.figshare.14701425
title: Codebook of Local Advisory Strucutures Dataset2

description: Supplemental material for Who do mayors listen to under Covid-19 emergency? Lessons from the Local Advisory Structures by Marta Mendes Rocha, Aglaé Isadora Tumelero and Paula Emília Gomes de Almeida in Journal of Politics in Latin America.
DOI: 10.6084/m9.figshare.14701425.v1
title: Codebook of Local Advisory Strucutures Dataset2

description: Supplemental material for Who do mayors listen to under Covid-19 emergency? Lessons from the Local Advisory Structures by Marta Mendes Rocha, Aglaé Isadora Tumelero and Paula Emília Gomes de Almeida in Journal of Politics in Latin America.
DOI: 10.6084/m9.figshare.14696352
title: Codebook of Local Advisory Structures Dataset1

description: Supplemental material for Who do mayors listen to under Covid-19 emergency? Lessons from the Local Advisory Structures by Marta Mendes Rocha, Aglaé Isadora Tumelero and Paula Emília Gomes de Almeida in Journal of Politics in Latin America.
DOI: 10.6084/m9.figshare.14696352.v1
title: Codebook of Local Advisory Structures Dataset1

description: Supplemental material for Who do mayors listen to under Covid-19 emergency? Lessons from the Local Advisory Structures by Marta Mendes Rocha, Aglaé Isadora Tumelero and Paula Emília Gomes de Almeida in Journal of Politics in Latin America.