cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4954127
title: Zeppelin_BC_FLEXPART_2007

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2007.<br>
DOI: 10.14469/hpc/8081
title: Phenyl DIastereomer TS5 Step 3 IRC (32 px)

description: Gaussian Calculation
DOI: 10.14469/hpc/8082
title: Phenyl DIastereomer TS5 Step 2

description: Gaussian Calculation
DOI: 10.5281/zenodo.4945769
title: Zeppelin_BC_FLEXPART_2006

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2006.
DOI: 10.5281/zenodo.4945768
title: Zeppelin_BC_FLEXPART_2006

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2006.
DOI: 10.14469/hpc/8338
title: Corrected TS5 Step 2

description: Gaussian Calculation
DOI: 10.5281/zenodo.5036223
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.5281/zenodo.4944979
title: Zeppelin_BC_FLEXPART_2005

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2005.
DOI: 10.5281/zenodo.4944978
title: Zeppelin_BC_FLEXPART_2005

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2005.
DOI: 10.5281/zenodo.4943929
title: Zeppelin_BC_FLEXPART_2004

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2004.
DOI: 10.5281/zenodo.4943928
title: Zeppelin_BC_FLEXPART_2004

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2004.
DOI: 10.5281/zenodo.4942618
title: Zeppelin_BC_FLEXPART_2003

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2003.
DOI: 10.5281/zenodo.4942617
title: Zeppelin_BC_FLEXPART_2003

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2003.
DOI: 10.5281/zenodo.4927585
title: Zeppelin_BC_FLEXPART_2002

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2002.
DOI: 10.5281/zenodo.4927584
title: Zeppelin_BC_FLEXPART_2002

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2002.
DOI: 10.5281/zenodo.4926452
title: Zeppelin_BC_FLEXPART_2001

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2001.
DOI: 10.5281/zenodo.4926451
title: Zeppelin_BC_FLEXPART_2001

description: FLEXPART sensitivities at three vertical levels for twenty day simulations backward in time. <br> The Flexpart BC tracer model was used for simulating backwards the light-absorbing aerosol arriving at Zeppelin during 2001.
DOI: 10.5281/zenodo.5036228
title: Co2 concentration, temperature and humidity in primary classrooms during the Covid-19 Safety Measures in Spain

description: Co2 concentration, temperature and humidity in primary classrooms during the Covid-19 Safety Measures in Spain
DOI: 10.5281/zenodo.5036232
title: Sample data for COMUNET

description: Sample data for the tutorial of COMUNET, downloaded from https://github.com/ScialdoneLab/COMUNET
DOI: 10.5281/zenodo.5036231
title: Sample data for COMUNET

description: Sample data for the tutorial of COMUNET, downloaded from https://github.com/ScialdoneLab/COMUNET
DOI: 10.17037/data.00002334
title: Data for: "Foot thermometry with mHeath-based supplementation to prevent diabetic foot ulcers: A randomized controlled trial"

description: Data and code made available to support a paper titled, "Foot thermometry with mHeath-based supplementation to prevent diabetic foot ulcers: A randomized controlled trial". Files are hosted on Figshare, Zenodo, and Github.
DOI: 10.34810/data121/1
title: Readme JSFA.txt

description: :unav
DOI: 10.34810/data121/2
title: Data_from_Martinez-Subira_et_al_2021_JSFA_2021_10.xlxs.tab

description: :unav
DOI: 10.6084/m9.figshare.14865151.v1
title: SIFiguresPt4.zip from Consistent inconsistencies in braking: a spatial analysis

description: The dynamic system that is the bipedal body in motion is of interest to engineers, clinicians and biological anthropologists alike. Spatial statistics is more familiar to public health researchers as a way of analysing disease clustering and spread, nonetheless, this is a practical approach to the two-dimensional topography of the foot. We quantified the clustering of the centre of pressure (CoPs) on the foot for peak braking and propulsive vertical ground reaction forces (GRF) over multiple, contiguous steps to assess the consistency of the location of peak forces on the foot during walking. The vertical GRFs of eleven participants were collected continuously via a wireless insole system (MoticonReGo AG) across various experimental conditions. We hypothesized that CoPs would cluster in the hindfoot for braking and forefoot for propulsion and that braking would demonstrate more consistent clustering than propulsion. Contrary to our hypotheses, we found that CoPs during braking are inconsistent in their location and CoPs during propulsion are more consistent and clustered across all participants and all trials. These results add to our understanding of the applied forces on the foot so that we can better predict fatigue failures and better understand the mechanisms that shaped the modern bipedal form.
DOI: 10.6084/m9.figshare.14865148.v1
title: R Code from Consistent inconsistencies in braking: a spatial analysis

description: RMD file of the code generated to obtain our results.
DOI: 10.6084/m9.figshare.14865145.v1
title: Supplementary Results - Figures from Consistent inconsistencies in braking: a spatial analysis

description: Graphical results of our analyses
DOI: 10.6084/m9.figshare.14865139.v1
title: SIFiguresPt2.zip from Consistent inconsistencies in braking: a spatial analysis

description: The dynamic system that is the bipedal body in motion is of interest to engineers, clinicians and biological anthropologists alike. Spatial statistics is more familiar to public health researchers as a way of analysing disease clustering and spread, nonetheless, this is a practical approach to the two-dimensional topography of the foot. We quantified the clustering of the centre of pressure (CoPs) on the foot for peak braking and propulsive vertical ground reaction forces (GRF) over multiple, contiguous steps to assess the consistency of the location of peak forces on the foot during walking. The vertical GRFs of eleven participants were collected continuously via a wireless insole system (MoticonReGo AG) across various experimental conditions. We hypothesized that CoPs would cluster in the hindfoot for braking and forefoot for propulsion and that braking would demonstrate more consistent clustering than propulsion. Contrary to our hypotheses, we found that CoPs during braking are inconsistent in their location and CoPs during propulsion are more consistent and clustered across all participants and all trials. These results add to our understanding of the applied forces on the foot so that we can better predict fatigue failures and better understand the mechanisms that shaped the modern bipedal form.
DOI: 10.6084/m9.figshare.14865130.v1
title: SIFiguresPart3.zip from Consistent inconsistencies in braking: a spatial analysis

description: The dynamic system that is the bipedal body in motion is of interest to engineers, clinicians and biological anthropologists alike. Spatial statistics is more familiar to public health researchers as a way of analysing disease clustering and spread, nonetheless, this is a practical approach to the two-dimensional topography of the foot. We quantified the clustering of the centre of pressure (CoPs) on the foot for peak braking and propulsive vertical ground reaction forces (GRF) over multiple, contiguous steps to assess the consistency of the location of peak forces on the foot during walking. The vertical GRFs of eleven participants were collected continuously via a wireless insole system (MoticonReGo AG) across various experimental conditions. We hypothesized that CoPs would cluster in the hindfoot for braking and forefoot for propulsion and that braking would demonstrate more consistent clustering than propulsion. Contrary to our hypotheses, we found that CoPs during braking are inconsistent in their location and CoPs during propulsion are more consistent and clustered across all participants and all trials. These results add to our understanding of the applied forces on the foot so that we can better predict fatigue failures and better understand the mechanisms that shaped the modern bipedal form.
DOI: 10.6084/m9.figshare.14865151
title: SIFiguresPt4.zip from Consistent inconsistencies in braking: a spatial analysis

description: The dynamic system that is the bipedal body in motion is of interest to engineers, clinicians and biological anthropologists alike. Spatial statistics is more familiar to public health researchers as a way of analysing disease clustering and spread, nonetheless, this is a practical approach to the two-dimensional topography of the foot. We quantified the clustering of the centre of pressure (CoPs) on the foot for peak braking and propulsive vertical ground reaction forces (GRF) over multiple, contiguous steps to assess the consistency of the location of peak forces on the foot during walking. The vertical GRFs of eleven participants were collected continuously via a wireless insole system (MoticonReGo AG) across various experimental conditions. We hypothesized that CoPs would cluster in the hindfoot for braking and forefoot for propulsion and that braking would demonstrate more consistent clustering than propulsion. Contrary to our hypotheses, we found that CoPs during braking are inconsistent in their location and CoPs during propulsion are more consistent and clustered across all participants and all trials. These results add to our understanding of the applied forces on the foot so that we can better predict fatigue failures and better understand the mechanisms that shaped the modern bipedal form.
DOI: 10.6084/m9.figshare.14865148
title: R Code from Consistent inconsistencies in braking: a spatial analysis

description: RMD file of the code generated to obtain our results.
DOI: 10.6084/m9.figshare.14865145
title: Supplementary Results - Figures from Consistent inconsistencies in braking: a spatial analysis

description: Graphical results of our analyses
DOI: 10.6084/m9.figshare.14865139
title: SIFiguresPt2.zip from Consistent inconsistencies in braking: a spatial analysis

description: The dynamic system that is the bipedal body in motion is of interest to engineers, clinicians and biological anthropologists alike. Spatial statistics is more familiar to public health researchers as a way of analysing disease clustering and spread, nonetheless, this is a practical approach to the two-dimensional topography of the foot. We quantified the clustering of the centre of pressure (CoPs) on the foot for peak braking and propulsive vertical ground reaction forces (GRF) over multiple, contiguous steps to assess the consistency of the location of peak forces on the foot during walking. The vertical GRFs of eleven participants were collected continuously via a wireless insole system (MoticonReGo AG) across various experimental conditions. We hypothesized that CoPs would cluster in the hindfoot for braking and forefoot for propulsion and that braking would demonstrate more consistent clustering than propulsion. Contrary to our hypotheses, we found that CoPs during braking are inconsistent in their location and CoPs during propulsion are more consistent and clustered across all participants and all trials. These results add to our understanding of the applied forces on the foot so that we can better predict fatigue failures and better understand the mechanisms that shaped the modern bipedal form.
DOI: 10.6084/m9.figshare.14865133
title: Raw Data from Consistent inconsistencies in braking: a spatial analysis

description: The raw data used in our analyses
DOI: 10.6084/m9.figshare.14865130
title: SIFiguresPart3.zip from Consistent inconsistencies in braking: a spatial analysis

description: The dynamic system that is the bipedal body in motion is of interest to engineers, clinicians and biological anthropologists alike. Spatial statistics is more familiar to public health researchers as a way of analysing disease clustering and spread, nonetheless, this is a practical approach to the two-dimensional topography of the foot. We quantified the clustering of the centre of pressure (CoPs) on the foot for peak braking and propulsive vertical ground reaction forces (GRF) over multiple, contiguous steps to assess the consistency of the location of peak forces on the foot during walking. The vertical GRFs of eleven participants were collected continuously via a wireless insole system (MoticonReGo AG) across various experimental conditions. We hypothesized that CoPs would cluster in the hindfoot for braking and forefoot for propulsion and that braking would demonstrate more consistent clustering than propulsion. Contrary to our hypotheses, we found that CoPs during braking are inconsistent in their location and CoPs during propulsion are more consistent and clustered across all participants and all trials. These results add to our understanding of the applied forces on the foot so that we can better predict fatigue failures and better understand the mechanisms that shaped the modern bipedal form.
DOI: 10.6084/m9.figshare.14865129
title: Validity and reliability of the Hungarian version of Aberdeen Varicose Vein Questionnaire dataset

description: Dataset of the Validity and reliability of the Hungarian version of Aberdeen Varicose Vein Questionnaire manuscript.
DOI: 10.6084/m9.figshare.14865129.v1
title: Validity and reliability of the Hungarian version of Aberdeen Varicose Vein Questionnaire dataset

description: Dataset of the Validity and reliability of the Hungarian version of Aberdeen Varicose Vein Questionnaire manuscript.
DOI: 10.5517/ccdc.csd.cc27ql8v
title: CCDC 2077287: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Ulrich Senekal, Eric C. Hosten|2021|CrystEngComm|23|4560|doi:10.1039/D1CE00594D
DOI: 10.5517/ccdc.csd.cc27vz36
title: CCDC 2081498: Experimental Crystal Structure Determination

description: Related Article: Cecilia Fiore, Oleksii Shemchuk, Fabrizia Grepioni, Raymond J. Turner, Dario Braga|2021|CrystEngComm|23|4494|doi:10.1039/D1CE00612F
DOI: 10.5517/ccdc.csd.cc27vz58
title: CCDC 2081500: Experimental Crystal Structure Determination

description: Related Article: Cecilia Fiore, Oleksii Shemchuk, Fabrizia Grepioni, Raymond J. Turner, Dario Braga|2021|CrystEngComm|23|4494|doi:10.1039/D1CE00612F
DOI: 10.5517/ccdc.csd.cc27vz47
title: CCDC 2081499: Experimental Crystal Structure Determination

description: Related Article: Cecilia Fiore, Oleksii Shemchuk, Fabrizia Grepioni, Raymond J. Turner, Dario Braga|2021|CrystEngComm|23|4494|doi:10.1039/D1CE00612F
DOI: 10.5517/ccdc.csd.cc26r6z5
title: CCDC 2048107: Experimental Crystal Structure Determination

description: Related Article: Sizwe J. Zamisa, Unathi Bongoza, Bernard Omondi|2021|CrystEngComm|23|4459|doi:10.1039/D1CE00458A
DOI: 10.5517/ccdc.csd.cc27kj1d
title: CCDC 2072413: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kj2f
title: CCDC 2072414: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kj3g
title: CCDC 2072415: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kj4h
title: CCDC 2072416: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kj5j
title: CCDC 2072417: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kj6k
title: CCDC 2072418: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kj7l
title: CCDC 2072419: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kj8m
title: CCDC 2072420: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kj9n
title: CCDC 2072421: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kjbp
title: CCDC 2072422: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kjcq
title: CCDC 2072423: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kjdr
title: CCDC 2072424: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kjfs
title: CCDC 2072425: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kjgt
title: CCDC 2072426: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kjhv
title: CCDC 2072427: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.5517/ccdc.csd.cc27kjjw
title: CCDC 2072428: Experimental Crystal Structure Determination

description: Related Article: Navkiran Juneja, Ethan Zahid, Daniel K. Unruh, Kristin M. Hutchins|2021|CrystEngComm|23|4439|doi:10.1039/D1CE00706H
DOI: 10.6084/m9.figshare.14865255
title: datalist3deniz.xlsx

description: The dataset contains reverse distance matrix of cities of turkey, and visitor numbers of archaeological sites of Turkey, and related data for the year of 2019
DOI: 10.5281/zenodo.5025635
title: TRIPEx-pol level-2 data

description: This dataset was collected during the TRIple-frequency and Polarimetric radar Experiment for improving process observation of winter precipitation (TRIPEx-pol) campaign. During the campaign, three zenith pointing radars were operated at he research core facility Jülich ObservatorY for Cloud Evolution (JOYCE-CF, 50°54′31′′\,N, 6°24′49′′\,E; 111\,m above mean sea level) close to Cologne, Germany. The radars were measuring at X,Ka and W-band frequencies. For a detailed information on the campaign and the radars see von Terzi et al 2021. The dataset here is the LV2 data. That means that the original Doppler Spectra data was regridded to a common time height grid with 4s temporal and 36m spatial resolution. The Doppler spectra were also fitlered (see von Terzi et al 2021 level-0 processing). The moments were calculated directly from the LV0 dataset. The LV2 processing follows Dias-Neto et al. 2019 (https://doi.org/10.5194/essd-11-845-2019 ). In the LV2 processing step, the radar specific offsets were calculated using a forward simulation of rain drop size distribution from a PARSIVEL instrument which is operated at JOYCE-CF. The calibration offsets are stored in the variable rain_offset_{band} (band stands for the radar band, so X,Ka or W). Then gaseous attenuation due to nitrogen, oxygen and water vapour were calculated from temperature, pressure and humidity profiles using the CloudNet product (more detail in von Terzi et al. 2021 lvel-2 processing). The attenuation due to gas is stored in the variable pia_{band}. Furthermore, the attenuation due to liquid or ice hydrometeors with the DWR-calibration described in Dias-Neto et al. 2019. In the DWR-calibration, the X and W-band radars are calibrated with respect to the Ka-band radar in the highest part of the cloud present. In the upper parts of ice clouds, the ice particles present can be assumed to be small enough to be Rayleigh scatterers and their reflectivity should not depend on the radar frequency. The relative radar offset is calculated for each time by looking at the reflectivity differences within a moving time window of 10 minutes. The attenuation due to liquid/ice hydrometeors is stored in the offset_{band} variable. The rain_offset_{band}, pia_{band} and offset_{band} have already been added to the radar reflectivity in the files, to return to the not-offset corrected dataset, simply subtract the named offsets. The variables quality_flag_offset_{band} contains flags indicating how trustworthy the offset correction is.
description: {"references": ["Dias-Neto et al. 2019 https://doi.org/10.5194/essd-11-845-2019"]}