cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/ba60-ew44
title: Experimental result of our BISR work

description: experimental data
DOI: 10.5255/ukda-sn-853763
title: Implementation and compliance with human rights law: An exploration of the interplay between the international, regional and national levels 2015-2019

description: The Human Rights Law Implementation Project (HRLIP) brought together four academic institutions with a human rights specialism (Bristol, Essex, Middlesex and Pretoria) and the Open Society Justice Initiative (OSJI). The aim of the project was to examine the factors which impact on the implementation of human rights judgments and decisions through a study of nine states across Africa (Burkina Faso, Cameroon and Zambia), the Americas (Canada, Colombia and Guatemala), and Europe (Belgium, the Czech Republic and Georgia). The project traced the implementation of (i) selected decisions deriving from individual complaints to UN treaty bodies; and (ii) selected judgments and decisions of the bodies in the three regional human rights systems. Around ten cases (or clusters of cases) per state were examined in detail, in order to elucidate the factors that tend towards compliance (or non- or partial compliance). In so doing, the HRLIP aimed to provide answers to why states (fail to or only partially) implement rulings, as well as to provide insights which can be used by pro-compliance actors. The HRLIP employed qualitative research methods, combining desk-based document reviews, semi-structured interviews (analysed using NVivo), national and regional workshops, and participant observations at regional and international treaty body meetings.
DOI: 10.5281/zenodo.4071556
title: BenjaminSMoss/Sheets-project-source-data: Photocatalyst Sheets Source Data NM19124170A

description: Source data in opj format (OriginPro) from our publication in Nature Materials (2020) entitled Linking in-situ charge accumulation to electronic structure in doped SrTiO3 reveals design principles for hydrogen evolving photocatalysts. by Benjamin Moss, Qian Wang, Keith T. Butler, Ricardo Grau-Crespo, Shababa Selim, Anna Regoutz , Takashi Hisatomi , Robert Godin, David J. Payne, Andreas Kafizas, Kazunari Domen, Ludmilla Steier* and James R. Durrant
DOI: 10.5281/zenodo.4071555
title: BenjaminSMoss/Sheets-project-source-data: Photocatalyst Sheets Source Data NM19124170A

description: Source data in opj format (OriginPro) from our publication in Nature Materials (2020) entitled Linking in-situ charge accumulation to electronic structure in doped SrTiO3 reveals design principles for hydrogen evolving photocatalysts. by Benjamin Moss, Qian Wang, Keith T. Butler, Ricardo Grau-Crespo, Shababa Selim, Anna Regoutz , Takashi Hisatomi , Robert Godin, David J. Payne, Andreas Kafizas, Kazunari Domen, Ludmilla Steier* and James R. Durrant
DOI: 10.5281/zenodo.4071451
title: Simulations of crowded membranes at different temperatures

description: soon...
DOI: 10.5281/zenodo.4071450
title: Simulations of crowded membranes at different temperatures

description: soon...
DOI: 10.6084/m9.figshare.13058435
title: R0235_20181113a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13058435.v1
title: R0235_20181113a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5517/cc9gvf0
title: CCDC 282392: Experimental Crystal Structure Determination

description: Related Article: Wen-Guo Wang, Xiao-Feng Zhang, Chang-Neng Chen, Qiu-Tian Liu|2005|Jiegou Huaxue|24|1088|
DOI: 10.5517/ccdc.csd.cc23tf7m
title: CCDC 1960850: Experimental Crystal Structure Determination

description: Related Article: Fabian F. Arp, Nattamai Bhuvanesh, Janet Blümel|2020|Inorg.Chem.|59|13719|doi:10.1021/acs.inorgchem.0c02087
DOI: 10.5517/ccdc.csd.cc23tf8n
title: CCDC 1960851: Experimental Crystal Structure Determination

description: Related Article: Fabian F. Arp, Nattamai Bhuvanesh, Janet Blümel|2020|Inorg.Chem.|59|13719|doi:10.1021/acs.inorgchem.0c02087
DOI: 10.5517/ccdc.csd.cc23tf9p
title: CCDC 1960852: Experimental Crystal Structure Determination

description: Related Article: Fabian F. Arp, Nattamai Bhuvanesh, Janet Blümel|2020|Inorg.Chem.|59|13719|doi:10.1021/acs.inorgchem.0c02087
DOI: 10.5517/ccdc.csd.cc23tfbq
title: CCDC 1960853: Experimental Crystal Structure Determination

description: Related Article: Fabian F. Arp, Nattamai Bhuvanesh, Janet Blümel|2020|Inorg.Chem.|59|13719|doi:10.1021/acs.inorgchem.0c02087
DOI: 10.5517/ccdc.csd.cc25bgww
title: CCDC 2006068: Experimental Crystal Structure Determination

description: Related Article: Atsushi KashiroWakana KohnoTakayuki Ishida|2020|CSD Communication|||
description: Related Article: Atsushi Kashiro, Wakana Kohno, Takayuki Ishida|2020|Inorg.Chem.|59|10163|doi:10.1021/acs.inorgchem.0c01296
DOI: 10.5517/ccdc.csd.cc25d9tq
title: CCDC 2007833: Experimental Crystal Structure Determination

description: Related Article: Michael J. Dorantes, James T. Moore, Eckhard Bill, Bernd Mienert, Connie C. Lu|2020|Chem.Commun.|56|11030|doi:10.1039/D0CC04563B
description: Related Article: Michael Dorantes|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25d9vr
title: CCDC 2007834: Experimental Crystal Structure Determination

description: Related Article: Michael J. Dorantes, James T. Moore, Eckhard Bill, Bernd Mienert, Connie C. Lu|2020|Chem.Commun.|56|11030|doi:10.1039/D0CC04563B
description: Related Article: Michael Dorantes|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25d9ws
title: CCDC 2007835: Experimental Crystal Structure Determination

description: Related Article: Michael J. Dorantes, James T. Moore, Eckhard Bill, Bernd Mienert, Connie C. Lu|2020|Chem.Commun.|56|11030|doi:10.1039/D0CC04563B
description: Related Article: Michael Dorantes|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25d9xt
title: CCDC 2007836: Experimental Crystal Structure Determination

description: Related Article: Michael J. Dorantes, James T. Moore, Eckhard Bill, Bernd Mienert, Connie C. Lu|2020|Chem.Commun.|56|11030|doi:10.1039/D0CC04563B
description: Related Article: Michael Dorantes|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25h090
title: CCDC 2010421: Experimental Crystal Structure Determination

description: Related Article: Danica Cechova, Jan Moncol|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25h3kc
title: CCDC 2010522: Experimental Crystal Structure Determination

description: Related Article: Jan Moncol|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25h3ld
title: CCDC 2010523: Experimental Crystal Structure Determination

description: Related Article: Kristina Randova, Jan Moncol|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25h3qj
title: CCDC 2010527: Experimental Crystal Structure Determination

description: Related Article: Kristina Randova, Jan Moncol|2020|CSD Communication|||
DOI: 10.17632/v6nvzt4jzt.1
title: Data for: Machiavelli Preferences Without Blame: Delegating Selfish vs. Generous Decisions in Dictator Games

description: Data for "Machiavelli Preferences Without Blame," Gawn and Innes.
DOI: 10.15129/27ffc1c6-4eea-4dad-a8d3-32c061f2cb57
title: Data for: "Voltammetry as a rapid Screening method for NPS identification"

description: All electrochemical data including cyclic voltammograms and differential pulse voltammograms pertaining to the publication "Voltammetry as a rapid Screening method for NPS identification"
DOI: 10.21227/fn3c-4z73
title: test_model_2

description: test_model_2
DOI: 10.6073/pasta/3e1afb470f307a5ed984b7343adec2dc
title: Hemlock Mapped Tree Plot at Harvard Forest since 1990

description: Most of the central New England landscape was cleared for agriculture in the mid-19th century and then naturally reforested into "secondary forests" with the abandonment of agricultural land. Some sites, often poorly drained, remained forested, but were usually subjected to intensive fuelwood cutting or logging and are termed "primary forests." The Hemlock Woodlot was never cleared for agriculture, but has a history of cutting and natural disturbance. The hemlock woodlot is located in the center of Harvard Forest's Prospect Hill Tract, adjacent to a spruce-blackgum swamp. Soils are moist and rocky, with a thick organic layer. Hemlock dominates tree species composition (62% by basal area), with hardwoods and scattered large white pine comprising the remainder. Most of the trees are 100-150 years old, with a few hemlock trees up to 230 years old. While the site was never cleared for agriculture, it was logged several times and chestnut blight removed a chestnut-dominated overstory in the 1910s. The 0.72 ha stem-mapped plot is at the center of a 4-ha hemlock-dominated forest. This plot serves as a major reference site and is part of a network of hemlock forests that are being intensively sampled as the hemlock woolly adelgid arrives.
DOI: 10.6084/m9.figshare.13060868
title: Indicadores de la Sociedad de la Información en España

description: Número medio de alumno por ordenador destinado a tareas de enseñanza/aprendizaje por Comunidad Autónoma de origen y tipo de centro educativo
DOI: 10.6084/m9.figshare.13060868.v1
title: Indicadores de la Sociedad de la Información en España

description: Número medio de alumno por ordenador destinado a tareas de enseñanza/aprendizaje por Comunidad Autónoma de origen y tipo de centro educativo
DOI: 10.6084/m9.figshare.13060892
title: MRC5_CTRL_30m_hg19_sorted.bam.bai

description: ttyyy<br>
DOI: 10.6084/m9.figshare.13060892.v1
title: MRC5_CTRL_30m_hg19_sorted.bam.bai

description: ttyyy<br>
DOI: 10.6084/m9.figshare.13060958.v1
title: MRC5_CTRL_2h_hg19_sorted.bam.bai

description: dhhhh
DOI: 10.6084/m9.figshare.13060958
title: MRC5_CTRL_2h_hg19_sorted.bam.bai

description: dhhhh
DOI: 10.5517/ccdc.csd.cc23x4y4
title: CCDC 1963476: Experimental Crystal Structure Determination

description: Related Article: Stefan Jungen, Peter Chen|2020|Inorg.Chem.|59|13315|doi:10.1021/acs.inorgchem.0c01685
DOI: 10.5517/ccdc.csd.cc23x4z5
title: CCDC 1963477: Experimental Crystal Structure Determination

description: Related Article: Stefan Jungen, Peter Chen|2020|Inorg.Chem.|59|13315|doi:10.1021/acs.inorgchem.0c01685
DOI: 10.5517/ccdc.csd.cc23xgvc
title: CCDC 1963783: Experimental Crystal Structure Determination

description: Related Article: Dong Zhang, Zhishan Su, Qianwen He, Zhikun Wu, Yuqiao Zhou, Chenjing Pan, Xiaohua Liu, Xiaoming Feng|2020|J.Am.Chem.Soc.|142|15975|doi:10.1021/jacs.0c07066
DOI: 10.5517/ccdc.csd.cc23yrlf
title: CCDC 1965015: Experimental Crystal Structure Determination

description: Related Article: Henry R. Kilgore, Chase R. Olsson, Kyan A. D’Angelo, Mohammad Movassaghi, Ronald T. Raines|2020|J.Am.Chem.Soc.|142|15107|doi:10.1021/jacs.0c06477
DOI: 10.5517/ccdc.csd.cc23yrmg
title: CCDC 1965016: Experimental Crystal Structure Determination

description: Related Article: Henry R. Kilgore, Chase R. Olsson, Kyan A. D’Angelo, Mohammad Movassaghi, Ronald T. Raines|2020|J.Am.Chem.Soc.|142|15107|doi:10.1021/jacs.0c06477
DOI: 10.5517/ccdc.csd.cc23yrnh
title: CCDC 1965017: Experimental Crystal Structure Determination

description: Related Article: Henry R. Kilgore, Chase R. Olsson, Kyan A. D’Angelo, Mohammad Movassaghi, Ronald T. Raines|2020|J.Am.Chem.Soc.|142|15107|doi:10.1021/jacs.0c06477
DOI: 10.5517/ccdc.csd.cc23yrpj
title: CCDC 1965018: Experimental Crystal Structure Determination

description: Related Article: Henry R. Kilgore, Chase R. Olsson, Kyan A. D’Angelo, Mohammad Movassaghi, Ronald T. Raines|2020|J.Am.Chem.Soc.|142|15107|doi:10.1021/jacs.0c06477
DOI: 10.5517/ccdc.csd.cc24mqvc
title: CCDC 1985173: Experimental Crystal Structure Determination

description: Related Article: Yue Gui, Xin Yao, Ilia Guzei, Michael M. Aristov, Junguang Yu, Lian Yu|2020|Chem.Mater.|32|7754|doi:10.1021/acs.chemmater.0c02209
DOI: 10.5517/ccdc.csd.cc24mqxf
title: CCDC 1985175: Experimental Crystal Structure Determination

description: Related Article: Yue Gui, Xin Yao, Ilia Guzei, Michael M. Aristov, Junguang Yu, Lian Yu|2020|Chem.Mater.|32|7754|doi:10.1021/acs.chemmater.0c02209
DOI: 10.5517/ccdc.csd.cc24mqwd
title: CCDC 1985174: Experimental Crystal Structure Determination

description: Related Article: Yue Gui, Xin Yao, Ilia Guzei, Michael M. Aristov, Junguang Yu, Lian Yu|2020|Chem.Mater.|32|7754|doi:10.1021/acs.chemmater.0c02209
DOI: 10.5517/ccdc.csd.cc24mqzh
title: CCDC 1985177: Experimental Crystal Structure Determination

description: Related Article: Yue Gui, Xin Yao, Ilia Guzei, Michael M. Aristov, Junguang Yu, Lian Yu|2020|Chem.Mater.|32|7754|doi:10.1021/acs.chemmater.0c02209
DOI: 10.5517/ccdc.csd.cc24mr0k
title: CCDC 1985178: Experimental Crystal Structure Determination

description: Related Article: Yue Gui, Xin Yao, Ilia Guzei, Michael M. Aristov, Junguang Yu, Lian Yu|2020|Chem.Mater.|32|7754|doi:10.1021/acs.chemmater.0c02209
DOI: 10.5517/ccdc.csd.cc24mr5q
title: CCDC 1985183: Experimental Crystal Structure Determination

description: Related Article: Yue Gui, Xin Yao, Ilia Guzei, Michael M. Aristov, Junguang Yu, Lian Yu|2020|Chem.Mater.|32|7754|doi:10.1021/acs.chemmater.0c02209
DOI: 10.5517/ccdc.csd.cc25h4f8
title: CCDC 2010549: Experimental Crystal Structure Determination

description: Related Article: Xing Zhi Ming|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25h8pn
title: CCDC 2010681: Experimental Crystal Structure Determination

description: Related Article: Svetlana O. Kasatkina, Ekaterina E. Stepanova, Maksim V. Dmitriev, Andrey N. Maslivets|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hlr1
title: CCDC 2010993: Experimental Crystal Structure Determination

description: Related Article: Thierry Maris|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25hmbn
title: CCDC 2011011: Experimental Crystal Structure Determination

description: Related Article: Srinivasan Kannupal|2020|CSD Communication|||
DOI: 10.5281/zenodo.4070128
title: HydroBlocks SGP-ARM data

description: Data and model configuration to run the HydroBlocks land surface model over a 1 arc degree box around the ARM SGP site in Oklahoma
DOI: 10.5281/zenodo.4070127
title: HydroBlocks SGP-ARM data

description: Data and model configuration to run the HydroBlocks land surface model over a 1 arc degree box around the ARM SGP site in Oklahoma
DOI: 10.6084/m9.figshare.13061249.v1
title: Gesticulator: baseline comparison study results

description: Results from the user study comparing the proposed model with the state-of-the-art in Gesture Generation for the ICMI 2020 paper "Gesticulator: A framework for semantically-aware speech-driven gesture generation"<br>
DOI: 10.26049/asp78-2-2020-07/1
title: Systematics of the Mecocephala group (Hemiptera: Heteroptera: Pentatomidae) based on a phylogenetic perspective: Inclusion of Hypanthracos, description of three new genera, and redescription of Ogmocoris – Electronic Supplements
DOI: 10.6084/m9.figshare.13061228.v1
title: Data_rsFC_Premature_UdA

description: Measures of MRI-based BOLD signals, resting-state functional connectivity, functional activity (fALFF) and regional tissue volume (evaluated using Deformation Based Morphometry), in a set of 90 cortical and subcortical brain regions of the UNC infant atlas. <br>The measures were extracted on anatomical and functional MRIs scans acquired at term-equivalent age on 88 newborns with varying gestational age (GA) at birth. The scans were performed at University G. D'Annunzio of Chieti-Pescara, Chieti, Italy<br>
DOI: 10.6084/m9.figshare.13061228
title: Data_rsFC_Premature_UdA

description: Measures of MRI-based BOLD signals, resting-state functional connectivity, functional activity (fALFF) and regional tissue volume (evaluated using Deformation Based Morphometry), in a set of 90 cortical and subcortical brain regions of the UNC infant atlas. <br>The measures were extracted on anatomical and functional MRIs scans acquired at term-equivalent age on 88 newborns with varying gestational age (GA) at birth. The scans were performed at University G. D'Annunzio of Chieti-Pescara, Chieti, Italy<br>
DOI: 10.5281/zenodo.4071710
title: Ashby et al., Simultaneous detection of Bluetongue virus serotypes using xMAP technology

description: Figure S1: Performance of the BTV 9-plex xMAP assay in detection of BTV reference strains BTV 1-24. Figure S2 Percentage inhibition of BTV-24 amplification in RT-qPCR in the presence of individual (<strong>a</strong>) or multiple (<strong>b</strong>) primers for other serotypes. Figure S3. Performance of the BTV xMAP assay to detect BTV reference strains BTV 1-24. Table S1: Primers and capture probes used in the xMAP assay. Table S2. Composition of the BTV serotyping 9-plex panel. Table S3: Composition of the BTV serotyping 5-plex panel. Table S4: Results of samples tested using group specific RT-qPCR BTV assay
DOI: 10.5281/zenodo.4071709
title: Ashby et al., Simultaneous detection of Bluetongue virus serotypes using xMAP technology

description: Figure S1: Performance of the BTV 9-plex xMAP assay in detection of BTV reference strains BTV 1-24. Figure S2 Percentage inhibition of BTV-24 amplification in RT-qPCR in the presence of individual (<strong>a</strong>) or multiple (<strong>b</strong>) primers for other serotypes. Figure S3. Performance of the BTV xMAP assay to detect BTV reference strains BTV 1-24. Table S1: Primers and capture probes used in the xMAP assay. Table S2. Composition of the BTV serotyping 9-plex panel. Table S3: Composition of the BTV serotyping 5-plex panel. Table S4: Results of samples tested using group specific RT-qPCR BTV assay
DOI: 10.21227/441e-6655
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet includes over 5.6 million RGB images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera system throughout the summer, fall, and winter seasons. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet provides an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and Artificial Intelligence. Under Review.
DOI: 10.21227/m2gd-m997
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet includes over 5.6 million RGB images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable camera system throughout the summer, fall, and winter seasons. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet provides researchers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and Artificial Intelligence. Under Review.
DOI: 10.21227/tcb3-cy68
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over 5.6 million RGB images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable camera system throughout the summer, fall, and winter seasons. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet provides researchers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and Artificial Intelligence. Under Review.
DOI: 10.21227/3q5g-pc82
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over 5.6 million RGB images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable camera system throughout the summer, fall, and winter seasons. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet provides researchers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoid and autonomous legged robotics.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and Artificial Intelligence. Under Review.