cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/hb6ge4/jsj0em
title: IMG_20200120_202400.jpg

description: :unav
DOI: 10.7910/dvn/hb6ge4/ohoojz
title: IMG_20200120_152903.jpg

description: :unav
DOI: 10.7910/dvn/hb6ge4/pfs7pb
title: IMG_20200120_153029.jpg

description: :unav
DOI: 10.7910/dvn/hb6ge4/reckwo
title: IMG_20200120_202247.jpg

description: :unav
DOI: 10.7910/dvn/hb6ge4/yvj3pj
title: IMG_20200120_202234.jpg

description: :unav
DOI: 10.21227/2h6e-rx28
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Advances in artificial intelligence and robotic vision have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the widespread development and dissemination of image classification algorithms. To address these shortcomings, we have developed the ExoNet Database, the first open-source database of high-resolution wearable RGB camera images of human locomotion environments. Using a lightweight wearable smartphone camera system, over 5.6 million images of outdoor and indoor real-world walking environments were collected throughout the summer, autumn, and winter seasons. Approximately 940,000 images of the ExoNet Database were human-annotated using a 12-classs hierarchical image classification architecture. Images were uploaded to IEEE DataPort and are publicly available for download. The ExoNet Database provides an unprecedented community platform for training, developing, and comparing next-generation image classification algorithms (e.g., convolutional neural networks) for control of lower-limb exoskeletons and prostheses.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. In Preparation.
DOI: 10.21227/t806-h998
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Advances in artificial intelligence and robotic vision have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the widespread development and dissemination of image classification algorithms. To address these shortcomings, we have developed the ExoNet Database, the first open-source database of high-resolution wearable RGB camera images of human locomotion environments. Using a lightweight wearable smartphone camera system, over 5.6 million images of outdoor and indoor real-world walking environments were collected throughout summer, autumn, and winter seasons. Approximately 940,000 images of the ExoNet Database were human-annotated using a 12-classs hierarchical image classification architecture. Images were uploaded to IEEE DataPort and are publicly available for download. The ExoNet Database provides an unprecedented community platform for training, developing, and comparing next-generation image classification algorithms (e.g., convolutional neural networks) for control of lower-limb exoskeletons and prostheses.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. In Preparation.
DOI: 10.5281/zenodo.3613936
title: KBNL03000168073 - Coutumes et ordonnances du pays et comté de Namur, Volume 1

description: Titel: <em>Coutumes et ordonnances du pays et comté de Namur</em><em>, Volume 1</em> Publisher: J.P. Gramme Place: Liège. Year: 1736. Used version: The copy we used for the transcriptions is held at the KB National Library of the Netherlands. Link digitised version of the book: https://books.google.nl/books?vid=KBNL:KBNL03000168073 (Main) Language: French. Province: Namur Font: Roman. Model used: French_18thC_Print Version of Transkribus used: v.1.9.1. Other info: Abbyy FineReader v.11 has been used. Link model: For more information on the HTR-model used, please visit: https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries. Transcription conventions: The abbreviations have been written out into full words. The hyphens at the end of a line have been kept (when there). If you are in need of the original scans of the documents, please contact dataservices@kb.nl. This transcription is part of the dataset created with the ‘Entangled Histories’-project. PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.
DOI: 10.5281/zenodo.3613937
title: KBNL03000168073 - Coutumes et ordonnances du pays et comté de Namur, Volume 1

description: Titel: <em>Coutumes et ordonnances du pays et comté de Namur</em><em>, Volume 1</em> Publisher: J.P. Gramme Place: Liège. Year: 1736. Used version: The copy we used for the transcriptions is held at the KB National Library of the Netherlands. Link digitised version of the book: https://books.google.nl/books?vid=KBNL:KBNL03000168073 (Main) Language: French. Province: Namur Font: Roman. Model used: French_18thC_Print Version of Transkribus used: v.1.9.1. Other info: Abbyy FineReader v.11 has been used. Link model: For more information on the HTR-model used, please visit: https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries. Transcription conventions: The abbreviations have been written out into full words. The hyphens at the end of a line have been kept (when there). If you are in need of the original scans of the documents, please contact dataservices@kb.nl. This transcription is part of the dataset created with the ‘Entangled Histories’-project. PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.
DOI: 10.5286/isis.e.rb2010302
title: µSR study on the parent material RNiO2 (R= La, Nd) of new nickelate superconductors

description: Superconductivity with the critical temperature up to 15 K is indeed discovered in Nd0.8Sr0.2NiO2, suggesting the possibility of a family of nickelate superconductors analogous to copper oxides and pnictides. To elucidate the precise relationship between nickelate superconductors and other high Tc superconductors, and the origin of superconductivity in nickelate, the studies on the parent material NdNiO2 are necessary. We propose to perform muon spin relaxation experiments to check whether there exists long-range magnetic order or magnetic fluctuations on Ni sites in NdNiO2 and LaNiO2. The success of the experiments will give strong evidence about whether the superconductivity in Nd0.8Sr0.2NiO2 is related to magnetism, as in high Tc curates and other unconventional superconductors.
DOI: 10.5286/isis.e.rb2010302-1
title: µSR study on the parent material RNiO2 (R= La, Nd) of new nickelate superconductors

description: Superconductivity with the critical temperature up to 15 K is indeed discovered in Nd0.8Sr0.2NiO2, suggesting the possibility of a family of nickelate superconductors analogous to copper oxides and pnictides. To elucidate the precise relationship between nickelate superconductors and other high Tc superconductors, and the origin of superconductivity in nickelate, the studies on the parent material NdNiO2 are necessary. We propose to perform muon spin relaxation experiments to check whether there exists long-range magnetic order or magnetic fluctuations on Ni sites in NdNiO2 and LaNiO2. The success of the experiments will give strong evidence about whether the superconductivity in Nd0.8Sr0.2NiO2 is related to magnetism, as in high Tc curates and other unconventional superconductors.
DOI: 10.7910/dvn/hb6ge4/3vsht0
title: IMG_20200120_152939.jpg

description: :unav
DOI: 10.7910/dvn/hb6ge4/berjxp
title: IMG_20200120_202218.jpg

description: :unav
DOI: 10.7910/dvn/hb6ge4/xdz1fw
title: IMG_20200120_152947.jpg

description: :unav
DOI: 10.7910/dvn/hb6ge4/xerb6g
title: IMG_20200120_152906.jpg

description: :unav
DOI: 10.7910/dvn/hb6ge4/zfyhy1
title: IMG_20200120_152940.jpg

description: :unav
DOI: 10.21227/rywc-fg13
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Advances in artificial intelligence and robotic vision have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the widespread development and dissemination of image classification algorithms. To address these shortcomings, we have developed the ExoNet Database, the first open-source database of high-resolution wearable RGB camera images of human locomotion environments. Using a lightweight wearable smartphone camera system, over 5.6 million images of outdoor and indoor real-world walking environments were collected throughout summer, autumn, and winter seasons. Approximately 940,000 images of the ExoNet Database were human-annotated using a 12-classs hierarchical image classification architecture. Images were uploaded to IEEE DataPort and are publicly available for download. The ExoNet Database offers an unprecedented communal platform for training, developing, and comparing next-generation image classification algorithms (e.g., convolutional neural networks) for control of lower-limb exoskeletons and prostheses.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. In Preparation.
DOI: 10.5281/zenodo.3613952
title: IO Islamic 1453. 'Ajîba-i-gharîbah, History of the Conquest of Kûćbahâr and âshâm

description: IO Islamic 1453. ‘Ajîba-i-gharîbah, History of the Conquest of Kûćbahâr and âshâm
DOI: 10.5281/zenodo.3613953
title: IO Islamic 1453. 'Ajîba-i-gharîbah, History of the Conquest of Kûćbahâr and âshâm

description: IO Islamic 1453. ‘Ajîba-i-gharîbah, History of the Conquest of Kûćbahâr and âshâm
DOI: 10.5286/isis.e.rb2010283
title: Muon Spin Relaxation studies on superconducting Ba1-xSrxNi2As2

description: The interplay between nematicity, magnetism and superconductivity is the key to understand the physics of iron-based superconductivity. Recently, BaNi2As2 and SrNi2As2, both being superconducting below 0.6 K without evidence of magnetic order or fluctuations, offers a unique opportunity to study the role of nematic fluctuations in the electron Cooper pairing without the effect of magnetic fluctuations. To elucidate the precise relationship between nematicity and superconductivity in Ba1-xSrxNi2As2, we propose to perform μSR experiments to measure the magnetic penetration depth of Ba1-xSrxNi2As2 (x = 0, 0.7, and 1). The success of the experiments will tell us the doping evolution the superconducting gap symmetry, which should help to understand how nematic fluctuations enhance superconductivity in Ba1-xSrxNi2As2.
DOI: 10.5286/isis.e.rb2010283-1
title: Muon Spin Relaxation studies on superconducting Ba1-xSrxNi2As2

description: The interplay between nematicity, magnetism and superconductivity is the key to understand the physics of iron-based superconductivity. Recently, BaNi2As2 and SrNi2As2, both being superconducting below 0.6 K without evidence of magnetic order or fluctuations, offers a unique opportunity to study the role of nematic fluctuations in the electron Cooper pairing without the effect of magnetic fluctuations. To elucidate the precise relationship between nematicity and superconductivity in Ba1-xSrxNi2As2, we propose to perform μSR experiments to measure the magnetic penetration depth of Ba1-xSrxNi2As2 (x = 0, 0.7, and 1). The success of the experiments will tell us the doping evolution the superconducting gap symmetry, which should help to understand how nematic fluctuations enhance superconductivity in Ba1-xSrxNi2As2.
DOI: 10.5519/qd.44znxbb4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8064 records)
DOI: 10.21223/ughhpk/aawjlh
title: PVS_ Dictionary.pdf

description: :unav
DOI: 10.21223/ughhpk/ac7prx
title: PTPVS122017_CHUCMAR_exp3.tab

description: :unav
DOI: 10.21223/ughhpk/p5vqnz
title: PTPVS122016_CHUCMAR_exp2.tab

description: :unav
DOI: 10.5281/zenodo.3613622
title: Raw data used in Kumar et al. 2020: Barley shoot biomass responds strongly to N:P stoichiometry and intraspecific competition, whereas roots only alter their foraging

description: Raw data used in Kumar et al. 2020: Barley shoot biomass responds strongly to N:P stoichiometry and intraspecific competition, whereas roots only alter their foraging
DOI: 10.5281/zenodo.3613623
title: Raw data used in Kumar et al. 2020: Barley shoot biomass responds strongly to N:P stoichiometry and intraspecific competition, whereas roots only alter their foraging

description: Raw data used in Kumar et al. 2020: Barley shoot biomass responds strongly to N:P stoichiometry and intraspecific competition, whereas roots only alter their foraging
DOI: 10.21223/ughhpk/tkuj1e
title: PTPVS122016_CHAQUIL_exp1.tab

description: :unav
DOI: 10.5281/zenodo.3613624
title: Variations in the magnetic properties of meteoritic cloudy zone

description: Data relating to Figure 5: Mossbauer data for the normalized phase fraction of kamacite, tetrataenite and antitaenite in the cloudy zone of three meteorites: the Esquel Main Group pallasite, the Tazewell IAB iron meteorite and the Estherville mesosiderite. Data relating to Figure 6: XMCD intensity distributions in the coarse cloudy zone in the Imilac Main Group pallasite and the Toluca IAB iron meteorite. Further details are provided in Nichols et al., 2020 submitted to <em>Geochemistry, Geophysics, Geosystems</em>.
DOI: 10.5281/zenodo.3613625
title: Variations in the magnetic properties of meteoritic cloudy zone

description: Data relating to Figure 5: Mossbauer data for the normalized phase fraction of kamacite, tetrataenite and antitaenite in the cloudy zone of three meteorites: the Esquel Main Group pallasite, the Tazewell IAB iron meteorite and the Estherville mesosiderite. Data relating to Figure 6: XMCD intensity distributions in the coarse cloudy zone in the Imilac Main Group pallasite and the Toluca IAB iron meteorite. Further details are provided in Nichols et al., 2020 submitted to <em>Geochemistry, Geophysics, Geosystems</em>.
DOI: 10.5523/bris.gw5q146a9dqd2t82jhu8noe3m
title: Object Detection Model from EPIC-KITCHENS (01-2020)

description: Fast R-CNN Model for EPIC-Kitchens
DOI: 10.21227/0pn7-5x08
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Advances in artificial intelligence and robotic vision have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the wide¬spread development and dissemination of image classification al¬gorithms. To address these shortcomings, we have developed the ExoNet Database, the first open-source database of high-quality wearable RGB camera images of human locomotion environ¬ments. Using a lightweight wearable smartphone camera system, over 5.6 million images of outdoor and indoor real-world walk-ing environments were collected throughout summer, autumn, and winter seasons. Approximately 940,000 images of ExoNet Database were human-annotated using a 12-classs hierarchical image classification architecture. Images were uploaded to IEEE DataPort and are publicly available for download. The ExoNet Database provides an unprecedented communal platform for training, developing, and comparing next-generation image clas¬sification algorithms (e.g., deep convolutional neural networks) for control of lower-limb exoskeletons and prostheses.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. In Preparation.
DOI: 10.21227/c1ce-7285
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Advances in artificial intelligence and robotic vision have enabled researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training datasets have impeded the widespread development and dissemination of image classification algorithms. To address these shortcomings, we have developed the ExoNet Database, the first open-source database of high-resolution wearable RGB camera images of human locomotion environments. Using a lightweight wearable smartphone camera system, over 5.6 million images of outdoor and indoor real-world walking environments were collected throughout summer, autumn, and winter seasons. Approximately 940,000 images of ExoNet Database were human-annotated using a 12-classs hierarchical image classification architecture. Images were uploaded to IEEE DataPort and are publicly available for download. The ExoNet Database provides an unprecedented communal platform for training, developing, and comparing next-generation image classification algorithms (e.g., deep convolutional neural networks) for control of lower-limb exoskeletons and prostheses.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. In Preparation.
DOI: 10.5281/zenodo.3601386
title: All-optical Supercontinuum Switching (data and postprocessing script)

description: Data archive for the article "All-optical Supercontinuum Switching" Oliver Melchert (1,2,3), Carsten Brée (4), Ayhan Tajalli (2), Alexander Pape (2), Rostislav Arkhipov (5), Stephanie Willms (1,2), Ihar Babushkin (1,2), Dmitry Skryabin (6), Günter Steinmeyer (7,8), Uwe Morgner (1,2,3), and Ayhan Demircan (1,2,3) 1. Cluster of Excellence PhoenixD, Welfengarten 1, 30167, Hannover, Germany<br> 2. Institute of Quantum Optics, Leibniz University Hannover, Welfengarten 1 30167, Hannover, Germany<br> 3. Hannover Centre for Optical Technologies, Nienburgerstr. 17, 30167, Hannover, Germany<br> 4. Weierstraß Institute for Applied Analysis and Stochastics, Mohrenstraße 39, 10117 Berlin, Germany<br> 5. St. Petersburg State University, Universitetskaya nab. 7/9, St. Petersburg 199034, Russia<br> 6. Department of Physics, University of Bath, Bath, BA2 7AY, UK<br> 7. Max-Born-Institute (MBI), Max-Born-Str. 2a, 12489 Berlin<br> 8. Institut für Physik, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany This repository contains data from an experiment and numerical simulations, allowing to reproduce a draft version of Figure 2 of the article.
DOI: 10.5281/zenodo.3601387
title: All-optical Supercontinuum Switching (data and postprocessing script)

description: Data archive for the article "All-optical Supercontinuum Switching" Oliver Melchert (1,2,3), Carsten Brée (4), Ayhan Tajalli (2), Alexander Pape (2), Rostislav Arkhipov (5), Stephanie Willms (1,2), Ihar Babushkin (1,2), Dmitry Skryabin (6), Günter Steinmeyer (7,8), Uwe Morgner (1,2,3), and Ayhan Demircan (1,2,3) 1. Cluster of Excellence PhoenixD, Welfengarten 1, 30167, Hannover, Germany<br> 2. Institute of Quantum Optics, Leibniz University Hannover, Welfengarten 1 30167, Hannover, Germany<br> 3. Hannover Centre for Optical Technologies, Nienburgerstr. 17, 30167, Hannover, Germany<br> 4. Weierstraß Institute for Applied Analysis and Stochastics, Mohrenstraße 39, 10117 Berlin, Germany<br> 5. St. Petersburg State University, Universitetskaya nab. 7/9, St. Petersburg 199034, Russia<br> 6. Department of Physics, University of Bath, Bath, BA2 7AY, UK<br> 7. Max-Born-Institute (MBI), Max-Born-Str. 2a, 12489 Berlin<br> 8. Institut für Physik, Humboldt-Universität zu Berlin, Newtonstraße 15, 12489 Berlin, Germany This repository contains data from an experiment and numerical simulations, allowing to reproduce a draft version of Figure 2 of the article.
DOI: 10.5281/zenodo.3613905
title: Homogeneous multifocal excitation for high-throughput super-resolution imaging - Expanded centriole particles

description: Datasets containing the segmented expanded centriole particles. The prefix Hs is used to denote particles acquired in synchronized RPE-1 human cells. Otherwise particles were collected from expanded isolated centrioles from <em>Chlamydomoanas reinhardtii</em>. Resized datasets have uniform voxel size of 14x14x14 nm3 after expansion (56x56x56 nm3 before expansion). Non-resized datasets have 14x14x30 pixel size (56x56x120 nm3 before expansion). All files should be mirrored horizontally/vertically to account for the chirality inversion due to the imaging process The channels in different datasets are: Chlamy acetylated sample: C1: acetylated tubulin-Alexa488 C2: aTubulin-Alexa568 Chlamy MonoE sample C1: aTubulin-Alexa488 C2: GT335-Alexa568 Chlamy PolyE sample C1: PolyE-Alexa488 C2: aTubulin-Alexa568 Hs sample: C1: PolyE-Alexa488 C2: acetylated tubulin-Alexa586
DOI: 10.5281/zenodo.3613906
title: Homogeneous multifocal excitation for high-throughput super-resolution imaging - Expanded centriole particles

description: Datasets containing the segmented expanded centriole particles. The prefix Hs is used to denote particles acquired in synchronized RPE-1 human cells. Otherwise particles were collected from expanded isolated centrioles from <em>Chlamydomoanas reinhardtii</em>. Resized datasets have uniform voxel size of 14x14x14 nm3 after expansion (56x56x56 nm3 before expansion). Non-resized datasets have 14x14x30 pixel size (56x56x120 nm3 before expansion). All files should be mirrored horizontally/vertically to account for the chirality inversion due to the imaging process The channels in different datasets are: Chlamy acetylated sample: C1: acetylated tubulin-Alexa488 C2: aTubulin-Alexa568 Chlamy MonoE sample C1: aTubulin-Alexa488 C2: GT335-Alexa568 Chlamy PolyE sample C1: PolyE-Alexa488 C2: aTubulin-Alexa568 Hs sample: C1: PolyE-Alexa488 C2: acetylated tubulin-Alexa586
DOI: 10.7910/dvn/9m6ehs/jff4nt
title: RHoMIS_Full_Data.tab

description: RHoMIS raw data file
DOI: 10.7910/dvn/9m6ehs/tgzmsn
title: Raw data code book.tab

description: Excel file with all data labels of the raw data, together with the associated questions and units
DOI: 10.23687/752fe3fc-d871-5ae1-9bd9-2b6f65880a8d
title: Canada - Aeromagnetic survey data compilation
title: Canada - Compilation de données de levés aéromagnétiques
DOI: 10.5281/zenodo.3613454
title: Burden of Influenza in Patients visiting Emergency Department for Treatment of Influenza Like Illness at THQ Hospital Shujabad, Pakistan

description: Supplementary files
DOI: 10.5281/zenodo.3613455
title: Burden of Influenza in Patients visiting Emergency Department for Treatment of Influenza Like Illness at THQ Hospital Shujabad, Pakistan

description: Supplementary files
DOI: 10.17894/ucph.543380e8-6102-405b-8cc1-dd519c0cf43c
title: Entanglement of Propagating Optical Modes via a Mechanical Interface Source Data