cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/z6jg-8989
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 robotic 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 offers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of lower-limb exoskeletons and prostheses, applications of ExoNet could extend to humanoids and autonomous legged robots.Reference: Laschowski B, McNally W, Wong A, and McPhee J. (2020). ExoNet Database: Wearable Camera Images of Human Locomotion Environments. Frontiers in Robotics and AI, 7, 562061. DOI: 10.3389/frobt.2020.562061.
DOI: 10.6084/m9.figshare.13498695
title: The investigation of molecular epidemiology and drug resistance of healthcare-associated infectious bacteria in hospitals, natural environment, and long-term care facilities

description: MOST project
DOI: 10.6084/m9.figshare.13498695.v1
title: The investigation of molecular epidemiology and drug resistance of healthcare-associated infectious bacteria in hospitals, natural environment, and long-term care facilities

description: MOST project
DOI: 10.6084/m9.figshare.13498689
title: Study_1.sav

description: Although employee green creativity is recognized as the key to the innovation in green enterprises, few studies explores the measurement of green creativity for employees. To address the gap, the present study identifies the major dimensions of employee green creativity and develops a comprehensive, reliable, and valid measurement instrument. According to the 4P’s model of creativity, four core dimensions of employee green creativity are identified, namely, green creative motivation, thinking, behavior, and outcome. Strictly adhering to the process of scale development, employee green creativity scale (EGCS) is constructed and validated. We first develop the items of employee green creativity based on literature review and expertise from academics and practitioners. Next, we examine the validation of EGCS through exploratory and confirmatory factor analysis using a sample from three large-scale green enterprises (N = 460). Further, we also check the nomological validity of EGCS by testing the effects of determinants (e.g., green transformational leadership, shared vision, and green self-efficacy) on employee green creativity using a new sample from another two green enterprises (N = 169). Results reveal that EGCS is a reliable and valid instrument for capturing employee green creativity in multiple contexts. Theoretical and practical implications are discussed.
DOI: 10.6084/m9.figshare.13498689.v1
title: Study_1.sav

description: Although employee green creativity is recognized as the key to the innovation in green enterprises, few studies explores the measurement of green creativity for employees. To address the gap, the present study identifies the major dimensions of employee green creativity and develops a comprehensive, reliable, and valid measurement instrument. According to the 4P’s model of creativity, four core dimensions of employee green creativity are identified, namely, green creative motivation, thinking, behavior, and outcome. Strictly adhering to the process of scale development, employee green creativity scale (EGCS) is constructed and validated. We first develop the items of employee green creativity based on literature review and expertise from academics and practitioners. Next, we examine the validation of EGCS through exploratory and confirmatory factor analysis using a sample from three large-scale green enterprises (N = 460). Further, we also check the nomological validity of EGCS by testing the effects of determinants (e.g., green transformational leadership, shared vision, and green self-efficacy) on employee green creativity using a new sample from another two green enterprises (N = 169). Results reveal that EGCS is a reliable and valid instrument for capturing employee green creativity in multiple contexts. Theoretical and practical implications are discussed.
DOI: 10.21227/9cqv-w712
title: Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

description: Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net joint torques and rotational velocities and numerically integrated over time to estimate joint biomechanical energies. The hip produced the largest peak negative mechanical power (1.8 ± 0.5 W/kg), followed by the knee (0.8 ± 0.3 W/kg) and ankle (0.2 ± 0.1 W/kg). Negative mechanical work from the hip, knee, and ankle joints per stand-to-sit movement were 0.35 ± 0.06 J/kg, 0.15 ± 0.08 J/kg, and 0.02 ± 0.01 J/kg, respectively. Assuming known regenerative actuator efficiencies (i.e., maximum 63%), robotic exoskeletons and prostheses could theoretically regenerate ~26 Joules of electrical energy while sitting down, compared to ~19 Joules per walking stride. Given that these regeneration performance calculations were based on healthy young adults, future studies should involve seniors and/or rehabilitation patients to better estimate the biomechanical energy available for electrical regeneration in individuals with mobility impairments. Reference: Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Design of Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. bioRxiv. DOI: 10.1101/801258.
DOI: 10.21227/e3fm-5t50
title: Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

description: Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net joint torques and rotational velocities and numerically integrated over time to estimate joint biomechanical energies. The hip produced the largest peak negative mechanical power (1.8 ± 0.5 W/kg), followed by the knee (0.8 ± 0.3 W/kg) and ankle (0.2 ± 0.1 W/kg). Negative mechanical work from the hip, knee, and ankle joints per stand-to-sit movement were 0.35 ± 0.06 J/kg, 0.15 ± 0.08 J/kg, and 0.02 ± 0.01 J/kg, respectively. Assuming known regenerative actuator efficiencies (i.e., maximum 63%), robotic exoskeletons and prostheses could theoretically regenerate ~26 Joules of electrical energy while sitting down, compared to ~19 Joules per walking stride. Given that these regeneration performance calculations were based on healthy young adults, future studies should involve seniors and/or rehabilitation patients to better estimate the biomechanical energy available for electrical regeneration in individuals with mobility impairments.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Design of Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. bioRxiv. DOI: 10.1101/801258.
DOI: 10.21227/sheb-p102
title: Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

description: Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net joint torques and rotational velocities and numerically integrated over time to estimate joint biomechanical energies. The hip produced the largest peak negative mechanical power (1.8 ± 0.5 W/kg), followed by the knee (0.8 ± 0.3 W/kg) and ankle (0.2 ± 0.1 W/kg). Negative mechanical work from the hip, knee, and ankle joints per stand-to-sit movement were 0.35 ± 0.06 J/kg, 0.15 ± 0.08 J/kg, and 0.02 ± 0.01 J/kg, respectively. Assuming known regenerative actuator efficiencies (i.e., maximum 63%), robotic exoskeletons and prostheses could theoretically regenerate ~26 Joules of electrical energy while sitting down, compared to ~19 Joules per walking stride. Given that these regeneration performance calculations were based on healthy young adults, future studies should involve seniors and/or rehabilitation patients to better estimate the biomechanical energy available for electrical regeneration in individuals with mobility impairments.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Design of Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. bioRxiv. DOI: 10.1101/801258.
DOI: 10.21227/h5sp-5r60
title: Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

description: Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net joint torques and rotational velocities and numerically integrated over time to estimate joint biomechanical energies. The hip produced the largest peak negative mechanical power (1.8 ± 0.5 W/kg), followed by the knee (0.8 ± 0.3 W/kg) and ankle (0.2 ± 0.1 W/kg). Negative mechanical work from the hip, knee, and ankle joints per stand-to-sit movement were 0.35 ± 0.06 J/kg, 0.15 ± 0.08 J/kg, and 0.02 ± 0.01 J/kg, respectively. Assuming known regenerative actuator efficiencies (i.e., maximum 63%), robotic exoskeletons and prostheses could theoretically regenerate ~26 Joules of electrical energy while sitting down, compared to ~19 Joules per walking stride. Given that these regeneration performance calculations were based on healthy young adults, future studies should involve seniors and/or rehabilitation patients to better estimate the biomechanical energy available for electrical regeneration in individuals with mobility impairments.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Design of Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. bioRxiv. DOI: 10.1101/801258.
DOI: 10.5281/zenodo.4389190
title: Caldera resurgence during the 2018 eruption of Sierra Negra volcano, Galápagos Islands

description: Key datasets associated with the 'Caldera resurgence during the 2018 eruption of Sierra Negra volcano, Galápagos Islands'. This are pre-eruption and co-eruption interferograms, IGUANA earthquake catalogue, list of earthquake times and magnitudes picked from station VCH1, and cGPS baseline timeseries.
DOI: 10.5281/zenodo.4389189
title: Caldera resurgence during the 2018 eruption of Sierra Negra volcano, Galápagos Islands

description: Key datasets associated with the 'Caldera resurgence during the 2018 eruption of Sierra Negra volcano, Galápagos Islands'. This are pre-eruption and co-eruption interferograms, IGUANA earthquake catalogue, list of earthquake times and magnitudes picked from station VCH1, and cGPS baseline timeseries.
DOI: 10.21227/4rke-d595
title: Measurement and Simulation of Human Sitting and Standing Movement Biomechanics

description: Previous studies of robotic exoskeletons and prostheses with regenerative actuators have focused exclusively on level-ground walking applications. Here we analyzed the lower-limb joint mechanical power during stand-to-sit movements using inverse dynamic simulations to estimate the biomechanical energy available for electrical regeneration. Nine subjects performed 20 sitting and standing movements while lower-limb kinematics and ground reaction forces were measured. Subject-specific body segment parameters were estimated using system parameter identification. Joint mechanical powers were calculated from net joint torques and rotational velocities and numerically integrated over time to estimate joint biomechanical energies. The hip produced the largest peak negative mechanical power (1.8 ± 0.5 W/kg), followed by the knee (0.8 ± 0.3 W/kg) and ankle (0.2 ± 0.1 W/kg). Negative mechanical work from the hip, knee, and ankle joints per stand-to-sit movement were 0.35 ± 0.06 J/kg, 0.15 ± 0.08 J/kg, and 0.02 ± 0.01 J/kg, respectively. Assuming known regenerative actuator efficiencies (i.e., maximum 63%), robotic exoskeletons and prostheses could theoretically regenerate ~26 Joules of electrical energy while sitting down, compared to ~19 Joules per walking stride. Given that these regeneration performance calculations were based on healthy young adults, future studies should involve seniors and/or rehabilitation patients to better estimate the biomechanical energy available for electrical regeneration in individuals with mobility impairments.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Design of Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. bioRxiv. DOI: 10.1101/801258.
DOI: 10.5281/zenodo.4399259
title: Data set 3 photographic documentation BRAD research project

description: Photographic documentation collected during the BRAD research project. For the personal data protection reasons, the published pictures do not represent recognizable people. The pictures present the places where part of the fieldwork was done (London, Croydon in the UK, Poznań in Poland). A separate folder contains images related to EUSS application.
DOI: 10.5281/zenodo.4399258
title: Data set 3 photographic documentation BRAD research project

description: Photographic documentation collected during the BRAD research project. For the personal data protection reasons, the published pictures do not represent recognizable people. The pictures present the places where part of the fieldwork was done (London, Croydon in the UK, Poznań in Poland). A separate folder contains images related to EUSS application.
DOI: 10.6084/m9.figshare.13498710
title: 基于多阶段集成学习模型的企业破产风险评估研究

description: 为了验证所提出的基于多阶段集成学习模型的企业破产风险评估模型的性能，本文一共使用了10个实验数据集进行验证。其中，9个数据集来自UC Irvine (UCI)机器学习存储库，它们分别是Australian，Japanese，German (Asuncion和Newman，2007)，Taiwan (Yeh和Lien，2009)和波兰破产企业数据集(Zięba等，2016)。波兰制造业企业破产风险数据集包含五个具有不同预测周期的独立数据集(即Polish 1，Polish 2，Polish 3，Polish 4和Polish 5)；1个数据集(Creator数据集)由中国电子政务服务提供商科创信息技术有限公司 于2019年发布，包含了35960家中国公司的产权，财务报表和基本公司信息。
DOI: 10.25646/7791
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.9893987.v2
title: Imine formation under catalysis by protonated amine: optimizations using (aug)-pcseg-1 basis set and D3-BJ, single points using pcseg2 and DSD-BLYP(D3-BJ)

description: Input and output files from quantum chemical computation of the reaction mechanism
DOI: 10.6084/m9.figshare.13498548
title: Supply and demand responsiveness data

description: This is a cleaned up and managed secondary time series data that was used in the analysis of supply and demand responsiveness to maize price changes. The data was compiled from secondary sources of the data. The sources of the data included international sources such as Food and Agriculture Organization website (FAOSTAT) and World Bank. Additionally, domestic sources of data were also used in the compilation of the data. These included statistical abstracts and economic survey documents as well as The Ministry of Agriculture.
DOI: 10.6084/m9.figshare.13498548.v1
title: Supply and demand responsiveness data

description: This is a cleaned up and managed secondary time series data that was used in the analysis of supply and demand responsiveness to maize price changes. The data was compiled from secondary sources of the data. The sources of the data included international sources such as Food and Agriculture Organization website (FAOSTAT) and World Bank. Additionally, domestic sources of data were also used in the compilation of the data. These included statistical abstracts and economic survey documents as well as The Ministry of Agriculture.
DOI: 10.6084/m9.figshare.5649394.v6
title: OBSOLETE : Imine formation from neat aromatic primary amines and benzaldehyde (optimized using (aug)-pcseg-0) (part II)

description: Additional Input and output files from quantum chemical computation of the reaction mechanism.<br><br>https://peerj.com/preprints/27710v1/<br><br><br>SUPERSEDED by the computations present in 10.6084/m9.figshare.8794859, which have been published as:<br>"New insights into the mechanism of Schiff base synthesis from aromatic amines in the absence of acid catalyst or polar solvents" PeerJ Organic Chemistry 2, e4 (DOI: 10.7717/peerj-ochem.4)<br>and<br>10.6084/m9.figshare.9893987
DOI: 10.6084/m9.figshare.5649394
title: OBSOLETE : Imine formation from neat aromatic primary amines and benzaldehyde (optimized using (aug)-pcseg-0) (part II)

description: Additional Input and output files from quantum chemical computation of the reaction mechanism.<br><br>https://peerj.com/preprints/27710v1/<br><br><br>SUPERSEDED by the computations present in 10.6084/m9.figshare.8794859, which have been published as:<br>"New insights into the mechanism of Schiff base synthesis from aromatic amines in the absence of acid catalyst or polar solvents" PeerJ Organic Chemistry 2, e4 (DOI: 10.7717/peerj-ochem.4)<br>and<br>10.6084/m9.figshare.9893987
DOI: 10.6084/m9.figshare.5640502
title: OBSOLETE: Imine formation from neat aromatic primary amines and benzaldehyde (optimized using (aug)-pcseg-0) (part I)

description: Input and output files from quantum chemical computation of the reaction mechanism<br><br><br>https://peerj.com/preprints/27710v1/<br><br><br>SUPERSEDED by the computations present in 10.6084/m9.figshare.8794859, which have been published as:<br>"New insights into the mechanism of Schiff base synthesis from aromatic amines in the absence of acid catalyst or polar solvents" PeerJ Organic Chemistry 2, e4 (DOI: 10.7717/peerj-ochem.4)
DOI: 10.6084/m9.figshare.8794859
title: Imine formation from neat aromatic amines and benzaldehyde : optimizations using (aug)-pcseg-1 basis set and D3-BJ, single points using pcseg2 and DSD-BLYP(D3-BJ)

description: Input and output files from quantum chemical computation of the reaction mechanism. This work has been published as<br>"New insights into the mechanism of Schiff base synthesis from aromatic amines in the absence of acid catalyst or polar solvents" PeerJ Organic Chemistry 2, e4 (DOI: 10.7717/peerj-ochem.4)
DOI: 10.6084/m9.figshare.9893987
title: Imine formation under catalysis by protonated amine: optimizations using (aug)-pcseg-1 basis set and D3-BJ, single points using pcseg2 and DSD-BLYP(D3-BJ)

description: Input and output files from quantum chemical computation of the reaction mechanism. This work has been published as<br><br>"New insights into the mechanism of Schiff base synthesis from aromatic amines in the absence of acid catalyst or polar solvents" PeerJ Organic Chemistry 2, e4 (DOI: 10.7717/peerj-ochem.4)
DOI: 10.6084/m9.figshare.5478751
title: Replacement of I- by NH3 in CuI in tetrahydrofuran

description: Inputs, outputs and orbitals for the species present in the Replacement of I- by NH3 in CuI in tetrahydrofuran, discussed in:<br><br><b>Pedro J. Silva</b> and Carlos E. P. Bernardo (2018), Influence of Alkyne and Azide Substituents on the Choice of the Reaction Mechanism of the Cu<sup>+</sup>-Catalyzed Addition of Azides to Iodoalkynes <i>J. Phys. Chem. A,</i> 122, 7497-7507 <br>
DOI: 10.6084/m9.figshare.5478751.v1
title: Replacement of I- by NH3 in CuI in tetrahydrofuran

description: Inputs, outputs and orbitals for the species present in the Replacement of I- by NH3 in CuI in tetrahydrofuran, discussed in:<br><br><b>Pedro J. Silva</b> and Carlos E. P. Bernardo (2018), Influence of Alkyne and Azide Substituents on the Choice of the Reaction Mechanism of the Cu<sup>+</sup>-Catalyzed Addition of Azides to Iodoalkynes <i>J. Phys. Chem. A,</i> 122, 7497-7507 <br>
DOI: 10.6084/m9.figshare.5165878
title: Uncatalyzed addition of azides to iodoalkynes

description: Inputs, outputs and orbitals for the species present in the uncatalyzed addition of azides to iodoalkynes, discussed in:<br><br><br><b>Pedro J. Silva</b> and Carlos E. P. Bernardo (2018), Influence of Alkyne and Azide Substituents on the Choice of the Reaction Mechanism of the Cu<sup>+</sup>-Catalyzed Addition of Azides to Iodoalkynes <i>J. Phys. Chem. A,</i> 122, 7497-7507 <br><br>A few catalyzed reactions are also present in this dataset, due to technical difficulties in uploading them to https://doi.org/10.6084/m9.figshare.5035682<br><br>Each file is labelled according to the following table, depending on the specific iodoalkyne/azide combination present<br>A CH3-CC-I and HN3<br>B CH3-CC-I and CH3-N3<br>C CH3-CC-I and PhN3<br>D CH3-CC-I and p-MePhN3<br>E CF3-CC-I and HN3<br>F CH3CH2-CC-I and HN3<br>G Ph-CC-I and HN3<br>H CF3-CC-I and CH3-N3<br>I CH3CH2-CC-I and CH3-N3<br>J Ph-CC-I and CH3-N3<br>K CF3-CC-I and PhN3<br>L CH3CH2-CC-I and PhN3<br>M Ph-CC-I and PhN3<br>N CF3-CC-I and p-MePhN3<br>O CH3CH2-CC-I and p-MePhN3<br>P Ph-CC-I and p-MePhN3<br>Q CH3-CC-I and CF3N3<br>R CF3-CC-I and CF3N3<br>S CH3CH2-CC-I and CF3N3<br>T Ph-CC-I and CF3N3<br>U CH3-CC-I and p-NO2-PhN3<br>V CF3-CC-I and p-NO2-PhN3<br>W CH3CH2-CC-I and p-NO2-PhN3<br>X Ph-CC-I and p-NO2-PhN3