cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gnpzmmpmzh.3
title: Data for: Differences in enamel defect expression and enamel growth variables in Macaca fascicularis and Trachypithecus cristatus from Sabah, Borneo

description: Documentation of the number of defects and the defect span (number of perikymata between the first enamel defect and the last) for two primate species.
DOI: 10.7910/dvn/rbn3xg/3rdxy3
title: subject_05_2_08.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/a1qarw
title: subject_05_2_01.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/cxwtwf
title: subject_05_rest_03.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/dhb70i
title: subject_05_2_12.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/hbekrz
title: subject_05_2_09.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/hynrjo
title: subject_05_2_07.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/pyryv3
title: subject_05_2_11.fdt

description: :unav
DOI: 10.5281/zenodo.3612649
title: Ogham Townlands Wikidata Import

description: <strong>Ogham Townlands Wikidata Import</strong> more at: https://github.com/ogi-ogham/ogham-wikidata/tree/master/Townlands
DOI: 10.5281/zenodo.3612650
title: Ogham Townlands Wikidata Import

description: <strong>Ogham Townlands Wikidata Import</strong> more at: https://github.com/ogi-ogham/ogham-wikidata/tree/master/Townlands
DOI: 10.7910/dvn/rbn3xg/1dkhyg
title: subject_06_2_03.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/5ghhyj
title: subject_05_rest_04.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/cbmurt
title: subject_05_2_04.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/deb08g
title: subject_05_2_06.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/elo3jq
title: subject_06_2_12.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/g6xpyu
title: subject_05_rest_01.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/h2avci
title: subject_05_2_12.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/lwie7h
title: subject_05_2_13.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/nqj1qy
title: subject_05_2_08.set

description: :unav
DOI: 10.21227/9w81-dq56
title: IHC Standard Movie

description: Although many researchers have been studying watermarking techniques, and many robust schemes have been proposed, there is still a need for explicit criteria that can be used for evaluating watermarking schemes. Even though some schemes are quite robust against existing attacks, it is difficult to fairly compare their levels of robustness. To change this situation, the IHC Committee was working to establish standard evaluation criteria by holding annual watermark competitions. These competitions enhanced the criteria and hopefully lead to a certain level of consensus on the practicality of using watermarking. Our activities should stimulate researchers to develop better and better watermarking schemes and activate the copyright protection movement in both academia and industry.
DOI: 10.34730/ea0ed57cb6a84a698d8595340dfb8fa3
title: TOAR timeseries of ground-level ozone at station XiangGeLiLa (XGLL), China

description: Timeseries of 1-hourly measurements of ground-level ozone at station XiangGeLiLa (XGLL), China. These data were provided by Prof.Dr. Xiaobin Xu of Key Laboratory for Atmospheric Chemistry (KLAC), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA) in the context of the Tropospheric Ozone Assessment Report (TOAR). For further information about TOAR see http://www.igacproject.org/activities/TOAR. An uptodate record of this data can be found in the TOAR database at https://toar-data.fz-juelich.de/api/getCoverage/?id=48239&sampling_method=hourly (not yet implemented)
description: This timeseries belongs to the collection http://doi.org/10.34730/6d0dcdd6e04e4e62a73ede44da9c076c of TOAR datasets from station XiangGeLiLa (XGLL), China.
description: The data are formatted as a csv file with variable header information. Each header line begins with # and contains key: value metadata elements. The data file was generated by the TOAR database query https://toar-data.fz-juelich.de/api/getCoverage/?id=XGLL&sampling_method=hourly&version_tag=1.0 (not yet implemented). A detailed description of the file format and the metadata elements can be found at: https://toar-data-portal.fz-juelich.de/docs/surfacedata/TOAR_file_format_v2.pdf (not yet implemented). Software tools for working with these data are available at https://jugit.fz-juelich.de/m.schultz/toar-public-utilities.
DOI: 10.5281/zenodo.3612654
title: Ogham Stones Wikidata Import

description: <strong>Ogham Stones Wikidata Import</strong> more at: https://github.com/ogi-ogham/ogham-wikidata/tree/master/OgamStones
DOI: 10.5281/zenodo.3612655
title: Ogham Stones Wikidata Import

description: <strong>Ogham Stones Wikidata Import</strong> more at: https://github.com/ogi-ogham/ogham-wikidata/tree/master/OgamStones
DOI: 10.7910/dvn/rbn3xg/f6xuds
title: subject_06_2_06.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/hlhdyu
title: subject_06_2_15.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ihwvys
title: subject_06_rest_03.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/irr0gb
title: subject_06_2_02.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/kgirzs
title: subject_06_2_01.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/lfqnsf
title: subject_06_2_11.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/qpm71g
title: subject_06_2_03.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/qszyyz
title: subject_06_2_09.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/zzw9e5
title: subject_06_rest_01.set

description: :unav
DOI: 10.34730/e8da09898d1149aab49a66851a6da0f7
title: TOAR timeseries of ground-level ozone at station LinAn (LN58448), China

description: Timeseries of 1-hourly measurements of ground-level ozone at station LinAn (LN58448), China. These data were provided by Prof.Dr. Xiaobin Xu of Key Laboratory for Atmospheric Chemistry (KLAC), Chinese Academy of Meteorological Sciences (CAMS), China Meteorological Administration (CMA) in the context of the Tropospheric Ozone Assessment Report (TOAR). For further information about TOAR see http://www.igacproject.org/activities/TOAR. An uptodate record of this data can be found in the TOAR database at https://toar-data.fz-juelich.de/api/getCoverage/?id=48232&sampling_method=hourly (not yet implemented)
description: This timeseries belongs to the collection http://doi.org/10.34730/17ee8eb5682848acb19ff17bc4921eb8 of TOAR datasets from station LinAn (LN58448), China.
description: The data are formatted as a csv file with variable header information. Each header line begins with # and contains key: value metadata elements. The data file was generated by the TOAR database query https://toar-data.fz-juelich.de/api/getCoverage/?id=LN58448&sampling_method=hourly&version_tag=1.0 (not yet implemented). A detailed description of the file format and the metadata elements can be found at: https://toar-data-portal.fz-juelich.de/docs/surfacedata/TOAR_file_format_v2.pdf (not yet implemented). Software tools for working with these data are available at https://gitlab... (not yet implemented).
DOI: 10.7910/dvn/rbn3xg/6ridei
title: subject_06_2_05.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/bje4oh
title: subject_06_2_08.fdt

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DOI: 10.7910/dvn/rbn3xg/dlqtqn
title: subject_06_2_10.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/nk1bfu
title: subject_06_2_14.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/pe8zev
title: subject_06_2_11.set

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DOI: 10.7910/dvn/rbn3xg/qoxmsy
title: subject_06_2_02.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/yby29e
title: subject_06_2_13.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/yytinx
title: subject_06_2_15.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/1mmovf
title: subject_06_2_04.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/43vnel
title: subject_06_rest_03.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/4fkes4
title: subject_06_2_08.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/6jdmue
title: subject_06_2_13.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/epfkme
title: subject_06_rest_04.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/iz0viv
title: subject_06_2_10.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/kevhzn
title: subject_06_rest_04.fdt

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DOI: 10.7910/dvn/rbn3xg/w1dfzb
title: subject_06_2_06.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/x5lz4g
title: subject_06_2_07.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/3vlxou
title: subject_06_2_07.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/5edh7k
title: subject_06_rest_01.fdt

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DOI: 10.7910/dvn/rbn3xg/akcqre
title: subject_06_2_12.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/he7zp1
title: subject_06_2_14.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/jalvm3
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description: :unav
DOI: 10.7910/dvn/rbn3xg/m9w9bg
title: subject_06_rest_02.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/njmtlz
title: subject_06_rest_02.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/v4lahl
title: subject_06_2_01.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/xatua4
title: subject_06_2_05.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/12undy
title: subject_07_rest_01.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/csvhrf
title: subject_07_2_03.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/iwbiha
title: subject_07_rest_01.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/j3o0ya
title: subject_06_2_09.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/rmeyxp
title: subject_07_2_06.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/sgwfia
title: subject_07_2_12.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/uk4bwg
title: subject_07_2_08.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/uktpvs
title: subject_07_2_13.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/wvjh5n
title: subject_07_rest_04.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/1ntlpn
title: subject_07_2_09.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/b5ozsz
title: subject_07_2_12.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/hqrma2
title: subject_07_2_05.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/kfsj0f
title: subject_07_2_10.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/qfr4gj
title: subject_07_2_05.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/t1n27q
title: subject_07_rest_03.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/uykbvg
title: subject_07_2_10.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/cgojtf
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description: :unav
DOI: 10.7910/dvn/rbn3xg/d4jtc7
title: subject_07_2_14.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/frknha
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DOI: 10.7910/dvn/rbn3xg/guzfxd
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description: :unav
DOI: 10.7910/dvn/rbn3xg/nbmdr0
title: subject_07_2_14.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/qqiwul
title: subject_07_2_07.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/rpcue8
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DOI: 10.7910/dvn/rbn3xg/5ouoox
title: subject_07_2_06.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/fzmyjf
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DOI: 10.7910/dvn/rbn3xg/gjxyoi
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description: :unav
DOI: 10.7910/dvn/rbn3xg/iebdrp
title: subject_07_2_11.set

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DOI: 10.7910/dvn/rbn3xg/j9ge85
title: subject_07_2_11.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/jjhrvu
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DOI: 10.7910/dvn/rbn3xg/mrjhat
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DOI: 10.7910/dvn/rbn3xg/pywaic
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DOI: 10.7910/dvn/rbn3xg/ucdy9s
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description: :unav
DOI: 10.7910/dvn/rbn3xg/w5nli4
title: subject_07_rest_04.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/7djw2x
title: subject_07_2_03.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/a5pwfx
title: subject_07_2_15.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ids8m4
title: subject_07_2_04.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/pa4pcj
title: subject_07_2_08.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/uhqugp
title: subject_07_2_13.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/x4vcje
title: subject_07_2_09.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/zq78qt
title: subject_08_2_04.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/k3uj8f
title: subject_08_2_11.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/p8njjj
title: subject_08_2_08.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/phtz6t
title: subject_08_2_02.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/pnqq68
title: subject_08_rest_04.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/rvkgof
title: subject_08_2_03.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/rxxjez
title: subject_08_2_01.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/shto2r
title: subject_08_2_11.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/uois1l
title: subject_08_2_09.fdt

description: :unav
DOI: 10.15468/0sheqp
title: A new Diplolepis Geoffroy (Hymenoptera, Cynipidae, Diplolepidini) species from China: a rare example of a rose gall-inducer of economic significance

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pujade-Villar, Juli, Wang, Yiping, Zhang, Wenli, Mata-Casanova, Noel, Lobato-Vila, Irene, Denes, Avar-Lehel, Laszlo, Zoltan (2020): A new Diplolepis Geoffroy (Hymenoptera, Cynipidae, Diplolepidini) species from China: a rare example of a rose gall-inducer of economic significance. ZooKeys 904: 131-146, DOI: http://dx.doi.org/10.3897/zookeys.904.46547, URL: http://dx.doi.org/10.3897/zookeys.904.46547
DOI: 10.7910/dvn/rbn3xg/75ohyi
title: subject_08_rest_01.fdt

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DOI: 10.7910/dvn/rbn3xg/flqewq
title: subject_08_rest_02.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/jia2w0
title: subject_08_2_04.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/of5nhm
title: subject_08_2_14.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/q102yt
title: subject_08_2_13.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/vhe71d
title: subject_08_2_14.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/vqxv3o
title: subject_08_2_10.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/wzma2f
title: subject_08_2_06.fdt

description: :unav
DOI: 10.5281/zenodo.3612474
title: Simulations of a DMPC membrane with embedded cholesterol or rhodopsin

description: Contain either 1 rhodopsin protein or 2 cholesterol molecules (1 per leaflet). 500 ns. Simulation at either 310 K (when explicitly mentioned) or 298 K (when not explicitly mentioned). The simulations at 298 K are in the ripple/gel phase.
DOI: 10.5281/zenodo.3612475
title: Simulations of a DMPC membrane with embedded cholesterol or rhodopsin

description: Contain either 1 rhodopsin protein or 2 cholesterol molecules (1 per leaflet). 500 ns.
DOI: 10.7910/dvn/rbn3xg/bbmqyj
title: subject_08_2_07.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/eq8hvk
title: subject_08_2_05.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/hmye6c
title: subject_08_2_02.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/prezuq
title: subject_08_2_13.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/uy5slu
title: subject_08_rest_02.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/wcwcuj
title: subject_08_2_09.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/wxwcf8
title: subject_08_2_06.set

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DOI: 10.7910/dvn/rbn3xg/xvlpql
title: subject_08_2_12.fdt

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DOI: 10.21227/apz4-b023
title: Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels (Method and Data)

description: The data set are images taken from the Particle Image Velocimetry (PIV) method and the Planar Laser-Induced Fluorescence (PLIF) method. These methods sets out the macro-scale experimental techniques that can enable fluid dynamic knowledge to inform molecular communication performance and design. Fluid dynamic experiments can capture latent features that allow the receiver to detect coherent signal structures and infer transmit parameters for optimal decoding.
DOI: 10.21227/eae4-kg81
title: Molecular Signal Tracking and Detection Methods in Fluid Dynamic Channels (Method and Data)

description: The data set are images taken from the Particle Image Velocimetry (PIV) method and the Planar Laser-Induced Fluorescence (PLIF) method. These methods sets out the macro-scale experimental techniques that can enable fluid dynamic knowledge to inform molecular communication performance and design. Fluid dynamic experiments can capture latent features that allow the receiver to detect coherent signal structures and infer transmit parameters for optimal decoding.
DOI: 10.21238/s8spray0101
title: Glider observations in the Kuroshio and South China Sea

description: The overarching goal of these Spray underwater glider missions was to observe internal waves in the Kuroshio and South China Sea near the Luzon Strait
DOI: 10.7910/dvn/rbn3xg/10wrr0
title: subject_08_2_03.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/2erl0a
title: subject_08_2_01.fdt

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DOI: 10.7910/dvn/rbn3xg/7xo8uf
title: subject_08_2_12.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/khspdd
title: subject_08_rest_03.fdt

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DOI: 10.7910/dvn/rbn3xg/rh7e8b
title: subject_08_rest_01.set

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DOI: 10.7910/dvn/rbn3xg/tfn0f0
title: subject_08_2_15.set

description: :unav
DOI: 10.7910/dvn/rbn3xg/ubgahg
title: subject_08_rest_04.fdt

description: :unav
DOI: 10.7910/dvn/rbn3xg/vs9aqq
title: subject_08_2_10.fdt

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DOI: 10.7910/dvn/rbn3xg/yspx5l
title: subject_08_2_07.set

description: :unav
DOI: 10.13135/ela-234
title: Honours for the prytany of Erechtheis
DOI: 10.13135/ela-283
title: Honours for the prytany of Antiochis
DOI: 10.21227/th24-f393
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 developed 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 5.4 million images of outdoor and indoor real-world locomotion environments were collected throughout summer, autumn, and winter seasons. Approximately 900,000 images of the ExoNet Database were human-annotated using a 12-classs hierarchical image classification architecture. Im¬ages 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 for control of lower-limb exoskeletons and prostheses.
DOI: 10.21227/wvhk-v363
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 de­veloped Ex­oNet Database, the first open-source database of high-resolution RGB wearable camera images of human locomotion environments. Using a lightweight wearable smartphone camera system, over 5.4 million images of outdoor and indoor real-world locomotion environments were collected throughout summer, autumn, and winter seasons. Approximately 900,000 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 communal platform for training, developing, and comparing next-gen­era­tion image clas­sification algorithms for control of lower-limb ex­oskeletons and prostheses.
DOI: 10.7910/dvn/rbn3xg/0kviwl
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DOI: 10.21227/gzfb-5b91
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 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 5.4 million images of outdoor and indoor real-world locomotion environments were collected throughout summer, autumn, and winter seasons. Approximately 900,000 images of the ExoNet Database were human-annotated using a 12-classs hierarchical image classification architecture. Im¬ages 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 for control of lower-limb exoskeletons and prostheses.
DOI: 10.21227/ha7r-m798
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 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 5.4 million images of outdoor and indoor real-world walking environments were collected throughout summer, autumn, and winter seasons. Approximately 900,000 images of the ExoNet Database were human-annotated using a 12-classs hierarchical image classification architecture. Im¬ages 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 for control of lower-limb exoskeletons and prostheses.