cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1288625.08fu
title: SH1288625.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.1594/ieda/318205
title: Uncalibrated Hydrographic Data acquired with a CTD near the Antarctic Peninsula during the Laurence M. Gould expedition LMG1102 (2011)

description: This data set was acquired with a Sea-Bird SBE-911 CTD during Laurence M. Gould expedition LMG1102 conducted in 2011 (Chief Scientist: Dr. David Barbeau). These data files are of SEASOFT format and include Fluorescence, Oxygen, Visible Radiation, Turbidity, Transmissivity, Pressure, Temperature, and Conductivity data that have not been processed. Data were acquired as part of the project(s): Geoscience island field camps.
DOI: 10.1594/ieda/318206
title: Calibrated Hydrographic Data from near the Antarctic Peninsula acquired with a CTD during the Laurence M. Gould expedition LMG1102 (2011)

description: This data set was acquired with a Sea-Bird SBE-911 CTD during Laurence M. Gould expedition LMG1102 conducted in 2011 (Chief Scientist: Dr. David Barbeau). These data files are of SEASOFT format and include Sound Velocity, Density, Oxygen, Visible Radiation, Turbidity, Transmissivity, Pressure, Fluorescence, Salinity, Temperature, and Conductivity data and were processed after data collection. Data were acquired as part of the project(s): Geoscience island field camps.
DOI: 10.6084/m9.figshare.1305753
title: European integration and the crisis: practice and theory
DOI: 10.25625/3dvvvn/iutzc4
title: DK-Sor_SoilModelResults_Opt_Text_FALSE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/onorut
title: DE-Lnf.Met.our.data.tab

description: :unav
DOI: 10.25625/3dvvvn/pvur1f
title: IT-LavSoilModelData.RData

description: :unav
DOI: 10.25625/3dvvvn/pyl4j1
title: Hainich2003_journalier.txt

description: :unav
DOI: 10.25625/3dvvvn/wxrze1
title: DE-Tha_SoilModelResults_Opt_Text_TRUE_useDUL_TRUE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.21227/59af-7s45
title: Measurement and Evaluation of Human Sitting and Standing Movement Biomechanics

description: INTRODUCTION: Although regenerative actuators can extend the operating durations of robotic lower-limb exoskeletons and prostheses, these energy-efficient devices have been exclusively designed and evaluated for level-ground walking. Building on previous research, this work analyzed the lower-limb joint biomechanical power during stand-to-sit movements using inverse dynamics modelling and simulation to estimate the biomechanical energy available for electrical regeneration. METHODS: 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 dynamic parameter identification, whereby differences in ground reaction forces and moments between the experimental measurements and inverse dynamic simulations were minimized. Joint biomechanical power was calculated from net joint torques and rotational velocities and numerically integrated over time to determine joint biomechanical energy. RESULTS: The hip generated the largest maximum negative biomechanical power (1.8 ± 0.5 W/kg), followed by the knee joint (0.8 ± 0.3 W/kg) and ankle joint (0.2 ± 0.1 W/kg). Negative biomechanical energy from the hip, knee, and ankle joints per stand-to-sit movement were 0.36 ± 0.06 J/kg, 0.16 ± 0.08 J/kg, and 0.03 ± 0.01 J/kg, respectively. CONCLUSION: Using previously published regenerative actuator efficiencies (i.e., approximately 63%), robotic knee exoskeletons and prostheses could theoretically regenerate 0.10 ± 0.05 J/kg of maximum electrical energy while sitting down. Future research should focus on biomechanical modelling and movement tracking of seniors and rehabilitation patients to better estimate the joint biomechanical energy available for electrical regeneration among clinical populations.
DOI: 10.21227/d0n2-zb14
title: Measurement and Evaluation of Human Sitting and Standing Movement Biomechanics

description: Abstract: Although regenerative actuators can extend the operating durations of robotic lower-limb exoskeletons and prostheses, these energy-efficient devices have been exclusively designed and evaluated for level-ground walking. Building on previous research, this work analyzed the lower-limb joint biomechanical power during stand-to-sit movements using inverse dynamics modelling and simulation 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 dynamic parameter identification, whereby differences in ground reaction forces and moments between the experimental measurements and inverse dynamic simulations were minimized. Joint biomechanical power was calculated from net joint torques and rotational velocities and numerically integrated over time to determine joint biomechanical energy. The hip generated the largest maximum negative biomechanical power (1.8 ± 0.5 W/kg), followed by the knee joint (0.8 ± 0.3 W/kg) and ankle joint (0.2 ± 0.1 W/kg). Negative biomechanical energy from the hip, knee, and ankle joints per stand-to-sit movement were 0.36 ± 0.06 J/kg, 0.16 ± 0.08 J/kg, and 0.03 ± 0.01 J/kg, respectively. Future research should focus on biomechanical modelling and movement tracking of seniors and rehabilitation patients to better estimate the joint biomechanical energy available for electrical regeneration among clinical populations.Reference:
DOI: 10.25625/3dvvvn/1sbrp8
title: CH-Lae_SoilModelResults_Opt_Text_TRUE_useDUL_TRUE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/bnmc2j
title: DE-Tha_SoilModelResults_Opt_Text_TRUE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/cshjpv
title: CH-Lae_SoilModelResults_Opt_Text_FALSE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/pimafv
title: Hainich2008_journalier.txt

description: :unav
DOI: 10.25625/3dvvvn/qfc1kj
title: CH-Lae_SoilModelResults_Opt_Text_TRUE_useDUL_FALSE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.25625/3dvvvn/rdp64n
title: BE-Bra_SoilModelResults_Opt_Text_FALSE_useDUL_TRUE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/rmhrf8
title: BE-VieSoilModelData.RData

description: :unav
DOI: 10.25625/3dvvvn/wfqfg1
title: BE-Bra_SoilModelResults_Opt_Text_TRUE_useDUL_TRUE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.3886/e101199v1-24102
title: New Deal Studies

description: These are a series of data sets from our projects on the New Deal. For a survey of the projects, see <br>Price Fishback. “How Successful Was the New Deal? The Microeconomic Impact of New Deal Spending and Lending Policies” Journal of Economic Literature 55(4) (December 2017): 1435-85. <br>
DOI: 10.21227/1fn1-aw53
title: Measurement and Evaluation of Human Sitting and Standing Movement Biomechanics

description: Although regenerative actuators can extend the operating durations of robotic lower-limb exoskeletons and prostheses, these energy-efficient devices have been exclusively designed and evaluated for level-ground walking. Building on previous research, this work analyzed the lower-limb joint biomechanical power during stand-to-sit movements using inverse dynamics modelling and simulation 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 dynamic parameter identification, whereby differences in ground reaction forces and moments between the experimental measurements and inverse dynamic simulations were minimized. Joint biomechanical power was calculated from net joint torques and rotational velocities and numerically integrated over time to determine joint biomechanical energy. The hip generated the largest maximum negative biomechanical power (1.8 ± 0.5 W/kg), followed by the knee joint (0.8 ± 0.3 W/kg) and ankle joint (0.2 ± 0.1 W/kg). Negative biomechanical energy from the hip, knee, and ankle joints per stand-to-sit movement were 0.36 ± 0.06 J/kg, 0.16 ± 0.08 J/kg, and 0.03 ± 0.01 J/kg, respectively. Future research should focus on biomechanical modelling and movement tracking of seniors and rehabilitation patients to better estimate the joint biomechanical energy available for electrical regeneration among clinical populations.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Designing Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. Under Review.
DOI: 10.21227/7gf5-4p81
title: Measurement and Evaluation of Human Sitting and Standing Movement Biomechanics

description: Although regenerative actuators can extend the operating durations of robotic lower-limb exoskeletons and prostheses, these energy-efficient devices have been exclusively designed and evaluated for level-ground walking. Building on previous research, this work analyzed the lower-limb joint biomechanical power during stand-to-sit movements using inverse dynamics modelling and simulation 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 dynamic parameter identification, whereby differences in ground reaction forces and moments between the experimental measurements and inverse dynamic simulations were minimized. Joint biomechanical power was calculated from net joint torques and rotational velocities and numerically integrated over time to determine joint biomechanical energy. The hip generated the largest maximum negative biomechanical power (1.8 ± 0.5 W/kg), followed by the knee joint (0.8 ± 0.3 W/kg) and ankle joint (0.2 ± 0.1 W/kg). Negative biomechanical energy from the hip, knee, and ankle joints per stand-to-sit movement were 0.36 ± 0.06 J/kg, 0.16 ± 0.08 J/kg, and 0.03 ± 0.01 J/kg, respectively. Future research should focus on biomechanical modelling and movement tracking of seniors and rehabilitation patients to better estimate the joint biomechanical energy available for electrical regeneration among clinical populations.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Designing Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. Under Review.
DOI: 10.21227/ymat-7c97
title: Measurement and Evaluation of Human Sitting and Standing Movement Biomechanics

description: Although regenerative actuators can extend the operating durations of robotic lower-limb exoskeletons and prostheses, these energy-efficient devices have been exclusively designed and evaluated for level-ground walking. Building on previous research, this work analyzed the lower-limb joint biomechanical power during stand-to-sit movements using inverse dynamics modelling and simulation 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 dynamic parameter identification, whereby differences in ground reaction forces and moments between the experimental measurements and inverse dynamic simulations were minimized. Joint biomechanical power was calculated from net joint torques and rotational velocities and numerically integrated over time to determine joint biomechanical energy. The hip generated the largest maximum negative biomechanical power (1.8 ± 0.5 W/kg), followed by the knee joint (0.8 ± 0.3 W/kg) and ankle joint (0.2 ± 0.1 W/kg). Negative biomechanical energy from the hip, knee, and ankle joints per stand-to-sit movement were 0.36 ± 0.06 J/kg, 0.16 ± 0.08 J/kg, and 0.03 ± 0.01 J/kg, respectively. Future research should focus on biomechanical modelling and movement tracking of seniors and rehabilitation patients to better estimate the joint biomechanical energy available for electrical regeneration among clinical populations.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Designing Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. Under Review.
DOI: 10.25625/3dvvvn/3ccwvf
title: DE-Hai_SoilModelResults_Opt_Text_TRUE_useDUL_TRUE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/gcjb9o
title: BE-Vie_EffectOfDepth.png

description: :unav
DOI: 10.25625/3dvvvn/kkx1at
title: Hainich2014_journalier.txt

description: :unav
DOI: 10.25625/3dvvvn/lapk4a
title: RunOtherSites.R

description: :unav
DOI: 10.25625/3dvvvn/lptsym
title: US-SyvSoilModelData.RData

description: :unav
DOI: 10.25625/3dvvvn/pdvhge
title: SWCMeasurementsInSites.R

description: :unav
DOI: 10.25625/3dvvvn/r4dotf
title: DE-Tha_SoilModelResults_Opt_Text_TRUE_useDUL_TRUE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/v4sibl
title: NL-Loo_SoilModelResults_Opt_Text_TRUE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/ylsuyt
title: ModelCalibrationENF.RData

description: :unav
DOI: 10.21227/cbtc-2v32
title: Measurement and Evaluation of Human Sitting and Standing Movement Biomechanics

description: Although regenerative actuators can extend the operating durations of robotic lower-limb exoskeletons and prostheses, these energy-efficient devices have been exclusively designed and evaluated for level-ground walking. Building on previous research, this work analyzed the lower-limb joint biomechanical power during stand-to-sit movements using inverse dynamics modelling and simulation 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 dynamic parameter identification, whereby differences in ground reaction forces and moments between the experimental measurements and inverse dynamic simulations were minimized. Joint biomechanical power was calculated from net joint torques and rotational velocities and numerically integrated over time to determine joint biomechanical energy. The hip generated the largest maximum negative biomechanical power (1.8 ± 0.5 W/kg), followed by the knee joint (0.8 ± 0.3 W/kg) and ankle joint (0.2 ± 0.1 W/kg). Negative biomechanical energy from the hip, knee, and ankle joints per stand-to-sit movement were 0.36 ± 0.06 J/kg, 0.16 ± 0.08 J/kg, and 0.03 ± 0.01 J/kg, respectively. Future research should focus on biomechanical modelling and movement tracking of seniors and rehabilitation patients to better estimate the joint biomechanical energy available for electrical regeneration with robotic lower-limb exoskeletons and prostheses.Reference:Laschowski B, Razavian RS, and McPhee J. (2020). Simulation of Stand-to-Sit Biomechanics for Designing Lower-Limb Exoskeletons and Prostheses with Energy Regeneration. Under Review.
DOI: 10.25625/3dvvvn/aujmcc
title: NL-Loo_EffectOfDepth.png

description: :unav
DOI: 10.25625/3dvvvn/ekumrx
title: DeHa2011biljou_soil.txt

description: :unav
DOI: 10.25625/3dvvvn/neyrcj
title: US-MMS_SoilModelResults_Opt_Text_TRUE_useDUL_TRUE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.25625/3dvvvn/odrjr0
title: GSSE_old.tab

description: :unav
DOI: 10.25625/3dvvvn/pemszz
title: DK-Sor_EffectOfDepth.png

description: :unav
DOI: 10.25625/3dvvvn/s3koio
title: DK-Sor_SoilModelResults_Opt_Text_FALSE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/spcaba
title: FigApp_GSSandGSE.pdf

description: :unav
DOI: 10.25625/3dvvvn/vlzmku
title: Hainich2013_journalier.txt

description: :unav
DOI: 10.5281/zenodo.3785381
title: sample case

description: sample case
DOI: 10.5281/zenodo.3785382
title: sample case

description: sample case
DOI: 10.25625/3dvvvn/0f4hrb
title: IT-ColSoilModelData.RData

description: :unav
DOI: 10.25625/3dvvvn/0plmif
title: US-Me2_EffectOfDepth.png

description: :unav
DOI: 10.25625/3dvvvn/1detz2
title: CH-Lae_SoilModelResults_Opt_Text_TRUE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/ggnfet
title: BE-Vie_SoilModelResults_Opt_Text_TRUE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/gsqkff
title: DE-Lnf_SoilModelResults_Opt_Text_FALSE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/u40ce4
title: IT-Lav_SoilModelResults_Opt_Text_TRUE_useDUL_TRUE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.25625/3dvvvn/xnsgic
title: Hainich2005_journalier.txt

description: :unav
DOI: 10.25625/3dvvvn/yuwpmv
title: NL-Loo_SoilModelResults_Opt_Text_FALSE_useDUL_TRUE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.3886/e119127v2
title: ENECO-Proceedings of Energy Economic Research Center

description: International Research, Education & Training Center (United Kingdom, London), NGO International Research, Education & Training Center (Estonia, Tallinn) and LLC ASUE EERC are publishing scientific papers of scientists on Website and in Referred Journals.<br>Economics and Management of Oil and Gas Enterprises Economy and Management of a National Economy Mathematical Methods, Models and Information Technologies in Economics <br>
DOI: 10.5281/zenodo.3786250
title: Kopaitic Island Adelie penguin GPS tracking data 2018-2019

description: These represent the speed filtered GPS datasets for individual Adelie penguins instrumented between November 2018 and February 2019 at Kopiaitic Island approximately 500m offshore from the Chilean Bernardo O'Higgins Antarctic Base on the western Antarctic Peninsula. They are stored as trip objects within standard .RData Workspaces. The objects are unprojected, but adhere to the CRS projection " +proj=lonlat +ellps=WGS84 +datum=WGS84" Individuals were also instrumented with dive loggers and accelerometer / magnetometer tags, and a subset were also instrumented with HD video cameras. These additional datasets will be published that are linked by unique animal #ID and deployment round number.
DOI: 10.5281/zenodo.3786251
title: Kopaitic Island Adelie penguin GPS tracking data 2018-2019

description: These represent the speed filtered GPS datasets for individual Adelie penguins instrumented between November 2018 and February 2019 at Kopiaitic Island approximately 500m offshore from the Chilean Bernardo O'Higgins Antarctic Base on the western Antarctic Peninsula. They are stored as trip objects within standard .RData Workspaces. The objects are unprojected, but adhere to the CRS projection " +proj=lonlat +ellps=WGS84 +datum=WGS84" Individuals were also instrumented with dive loggers and accelerometer / magnetometer tags, and a subset were also instrumented with HD video cameras. These additional datasets will be published that are linked by unique animal #ID and deployment round number.
DOI: 10.25625/3dvvvn/az4iit
title: DE-Lnf_SoilModelResults_Opt_Text_TRUE_useDUL_FALSE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.25625/3dvvvn/dv8k7d
title: US-MMS_SoilModelResults_Opt_Text_FALSE_useDUL_TRUE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/fev2d4
title: US-Syv_SoilModelResults_Opt_Text_FALSE_useDUL_TRUE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.25625/3dvvvn/hzbp67
title: US-Syv_SoilModelResults_Opt_Text_FALSE_useDUL_TRUE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.25625/3dvvvn/prws8y
title: IT-Lav_SoilModelResults_Opt_Text_TRUE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/qohojv
title: GeneralSiteData.R

description: :unav
DOI: 10.25625/3dvvvn/qqy2xg
title: BE-Bra_EffectOfDepth.png

description: :unav
DOI: 10.25625/3dvvvn/yljjqu
title: US-Syv_EffectOfDepth.png

description: :unav
DOI: 10.3886/e119128v2
title: PAHTEI-Proceedings of Azerbaijan High Technical Educational Institutions

description: Azerbaijan State Oil and Industry University and International Research, Education & Training Center. MTÜ (Estonia, Tallinn) are publishing scientific papers of scientists on Website and in Referred Journal <br>Mathematics<br>Computer Science Mechanics<br>Mechanics <br>Mechanics of deformable solid materials <br>Dynamics and durability of machinery, devices and systems.<br>Chemistry <br>Analytical chemistry <br>Inorganic Chemistry <br>Organic chemistry <br>Physical chemistry <br>Petro chemistry <br>Chemical kinetics and catalysis <br>Chemistry and technology of composite materials<br>Earth Sciences <br>Geophysics, geophysical methods of exploration of mineral resources <br>Lithology <br>Hydrogeology <br>Engineering geology <br>Geology and exploration of oil and gas fields <br>Well drilling technology <br>Processing and exploration of oil and gas fields <br>Development technology of offshore resource fields<br>Technical Sciences <br>Chemical technology and engineering <br>Materials technology <br>Machines, equipment and processes <br>Theoretical electrical Engineering <br>Electrical systems and complexes <br>Thermal power plants (thermal unit) <br>The theoretical foundations of thermal installations <br>High Voltage Technology <br>Information measurement and management systems (different fields) <br>System analysis, management and information processing <br>Construction and operation of oil and gas pipelines, bases reservoirs <br>Solids electronics, radio-electronic components, micro and Nano electronics<br>
DOI: 10.5519/qd.4gclwhu1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4553474 records)
DOI: 10.25625/3dvvvn/47kov8
title: US-MMS_SoilModelResults_Opt_Text_FALSE_useDUL_FALSE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.25625/3dvvvn/4hv6zu
title: De.Ha_soil.txt

description: :unav
DOI: 10.25625/3dvvvn/l5a9pq
title: US-MMS_SoilModelResults_Opt_Text_TRUE_useDUL_TRUE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/olk8mj
title: DE-Tha_EffectOfDepth.png

description: :unav
DOI: 10.25625/3dvvvn/wdk0l1
title: CH-Lae_SoilModelResults_Opt_Text_FALSE_useDUL_FALSE_saturationLowerLevel_TRUE.RData

description: :unav
DOI: 10.25625/3dvvvn/xdqyzq
title: US-Me2_SoilModelResults_Opt_Text_FALSE_useDUL_TRUE_saturationLowerLevel_FALSE.RData

description: :unav
DOI: 10.3886/e119241v2
title: Scientific conferences

description: International Research, Education & Training Center (United Kingdom, London) and NGO International Research, Education & Training Center (Estonia, Tallinn) organize scientific conferences. All conference materials are publishing on Website and in Referred Journals