cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1q4nr8
title: CCDC 1583410: Experimental Crystal Structure Determination

description: Related Article: Z.E. Hillman, J.M. Tanski, A. Roberts|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|639|doi:10.1107/S2053229620008128
DOI: 10.5517/ccdc.csd.cc25j8dd
title: CCDC 2011633: Experimental Crystal Structure Determination

description: Related Article: A.D. Bond, C.C. Sun|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|632|doi:10.1107/S2053229620008359
DOI: 10.5517/ccdc.csd.cc25j8ff
title: CCDC 2011634: Experimental Crystal Structure Determination

description: Related Article: A.D. Bond, C.C. Sun|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|632|doi:10.1107/S2053229620008359
DOI: 10.5517/ccdc.csd.cc25j8gg
title: CCDC 2011635: Experimental Crystal Structure Determination

description: Related Article: A.D. Bond, C.C. Sun|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|632|doi:10.1107/S2053229620008359
DOI: 10.5517/ccdc.csd.cc25j8hh
title: CCDC 2011636: Experimental Crystal Structure Determination

description: Related Article: A.D. Bond, C.C. Sun|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|632|doi:10.1107/S2053229620008359
DOI: 10.5517/ccdc.csd.cc25j8jj
title: CCDC 2011637: Experimental Crystal Structure Determination

description: Related Article: A.D. Bond, C.C. Sun|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|632|doi:10.1107/S2053229620008359
DOI: 10.6084/m9.figshare.13135130
title: Preprocessed EEG During Mental Arithmetic Tasks

description: It was obtained by preprocessing the following dataset: https://doi.org/10.13026/C2JQ1P.
DOI: 10.5517/ccdc.csd.cc25j8kk
title: CCDC 2011638: Experimental Crystal Structure Determination

description: Related Article: A.D. Bond, C.C. Sun|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|632|doi:10.1107/S2053229620008359
DOI: 10.5517/ccdc.csd.cc25j956
title: CCDC 2011657: Experimental Crystal Structure Determination

description: Related Article: A. Soecipto, L.W.-Y. Wong, H.H.-Y. Sung, I.D. Williams|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|695|doi:10.1107/S2053229620008384
DOI: 10.5517/ccdc.csd.cc25j967
title: CCDC 2011658: Experimental Crystal Structure Determination

description: Related Article: A. Soecipto, L.W.-Y. Wong, H.H.-Y. Sung, I.D. Williams|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|695|doi:10.1107/S2053229620008384
DOI: 10.5517/ccdc.csd.cc25j978
title: CCDC 2011659: Experimental Crystal Structure Determination

description: Related Article: A. Soecipto, L.W.-Y. Wong, H.H.-Y. Sung, I.D. Williams|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|695|doi:10.1107/S2053229620008384
DOI: 10.5517/ccdc.csd.cc25j989
title: CCDC 2011660: Experimental Crystal Structure Determination

description: Related Article: A. Soecipto, L.W.-Y. Wong, H.H.-Y. Sung, I.D. Williams|2020|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|76|695|doi:10.1107/S2053229620008384
DOI: 10.5281/zenodo.4121210
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.5281/zenodo.4121239
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.5281/zenodo.4121278
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.6084/m9.figshare.13135019
title: raw data

description: The raw data of TCNQ-CTF include BET, SEM, XRD and XPS.
DOI: 10.5281/zenodo.4121363
title: Supplemental material for "The influence of temperature on the seasonality of historical plague outbreaks"

description: This repository provides the code and raw data for the project.
DOI: 10.21227/a7yg-3906
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Abstract: Advances in computer vision and artificial intelligence are allowing researchers to develop environment recognition systems for powered lower-limb exoskeletons and prostheses. However, small-scale and private training datasets have impeded the widespread development and dissemination of image classification algorithms for classifying human walking environments. To address these limitations, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in scale and diversity, ExoNet contains over 5.6 million RGB images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable camera system throughout the summer, fall, and winter seasons. Approximately 923,000 images in ExoNet were human-annotated using a 12-class hierarchical labelling architecture. Available publicly through IEEE DataPort, ExoNet offers an unprecedented communal platform to train, develop, and compare next-generation image classification algorithms for human locomotion environment recognition. Besides the control of powered lower-limb exoskeletons and prostheses, applications of ExoNet could extend to 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 Artificial Intelligence. Under Review.
DOI: 10.5281/zenodo.4121423
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.6084/m9.figshare.13135331
title: Acoustic data

description: Sound particle motion and pressure recordings for Ferrari et al 2018 School is out paper. <b>Methods:</b> Acoustic recordings: Sound pressure was recorded with an omnidirectional hydrophone (HiTech HTI-96-MIN with inbuilt preamplifier; sensitivity -165 dB re 1V/μPa; frequency range 2 Hz–30 kHz; High Tech Inc., Gulfport MS) and a solid-state recorder (Zoom H2 recorder; sampling rate 44.1 kHz; Zoom Corporation, Tokyo, Japan). The recorder was fully calibrated using pure sine wave signals generated in SAS Lab (Avisoft, Germany), played on an mp3 player, measured in line with an oscilloscope. Particle acceleration was recorded with an accelerometer (M30, sensitivity 0–3 kHz, manufactured and calibrated by GeoSpectrum Technologies, Dartmouth, Canada; recorded on a laptop via a USB soundcard, MAYA44, ESI Audiotechnik GmbH, Leonberg, Germany). Acoustic analysis: Acoustic recordings were analysed in MATLAB v2013a. Fast-Fourier Transforms were used to transform time domain recordings into the frequency domain before power spectral density was calculated with a window length of 1024 using a Hamming window on 1-min samples of ambient and boat sounds in the tank compared with original recordings made in the lagoon. This allowed comparison of sound levels across the frequency range 0-3 kHz. Sound levels are only considered up to 3 kHz due to the upper limit of the sensitivity of the accelerometer. This frequency range is likely to cover the hearing range of most fish. <b>Figure Legend:</b> Figure x. Sound pressure (left) and particle acceleration (right) power spectral densities of ambient and boat sounds in the tank compared with original recordings made in the lagoon. Sampling rate of recordings = 44.1 kHz, window length = 1024. Each line on the figure represents the mean level from 60 x 1-s Hamming filtered windows for the frequency range 0-3 kHz. <br>
DOI: 10.6084/m9.figshare.13135346.v1
title: processed data

description: The processed data of TNCQ-CTF included BET, SEM, XRD and XPS.
DOI: 10.6084/m9.figshare.13135346
title: processed data

description: The processed data of TNCQ-CTF included BET, SEM, XRD and XPS.
DOI: 10.21227/csp7-gk24
title: Supplementary Material To: A Safety Benchmark for Capacitive Proximity Sensing in Robotics – Safe Transient Contact Compliant to ISO TS 15066: Power and Force Limiting

description: Supplementary Data for Publication "A Safety Benchmark for Capacitive Proximity Sensing in Robotics - Safe Transient Contact in Compliance to ISO TS 15066: Power and Force Limiting The Supplementary Data includesSTL files of the test objects (already available)Measurement Data of each institute for the shown test objects (are partially uploaded, list of files will be completed soon) Disclaimer: This publication was submitted and is currently under review to be published for IEEE RA-L with ICRA 2021 option. Fundings: The research leading to this results has received fundingfrom the ”K ̈arntner Wirtschaftsf ̈orderung Fonds” (KWF) andthe ”European Regional Development Fund” (EFRE) withinthe CapSize project 26616/30969/44253 and from the Fed-eral Ministry of Education and Research (Bundesministeriumf ̈ur Bildung und Forschung in Germany, BMWF) within theproject SINA (Verbundprojekt-Nr.: V5ARA114) Preliminary version of the abstract: During the co-presence of human workers and robots in the same workspace, Power and Force Limiting (PFL) according to ISO TS 15066 is required to avoid injuries during undesired contacts. Capacitive Proximity Sensors (CPSs) offer a cost-effective solution to cover the entire robot manipulator with a fast close-range perception for Human-Robot Collaboration (HRC) tasks. Compared to pure tactile or force sensing, the sensors allow to increase the operating speed of cobots while still maintaining PFL. The robot reacts before impacts occur and does not suffer from occlusion, as the sensors can be placed directly on the robot’s surface to cover the full area and close the perception gap between tactile detection and mid-range distance sensors. However, since capacitive coupling to obstacles varies with distance, shape, and material properties,the projection from capacitance to actual distances is a general problem. A reference benchmark is required for the evaluation to ensure safe PFL. We derive the requirements described in ISO TS 15066 for PFL of critical body regions and propose a method for determining the pre-detection operation speed to comply with PFL. We propose an universal benchmark test procedure for fellow researchers to evaluate their capacitive sensors for safe PFL. With researchers from four different institutes presenting three different concepts of capacitive sensors and their applicability on different robots, the benchmark test procedure is evaluated, and the general applicability is demonstrated.
DOI: 10.5281/zenodo.4115626
title: Immunophenotyping dataset of master cylists used for SIMON analysis

description: The Cyclists dataset was used for SIMON analysis as described in the "SIMON: open-source knowledge discovery platform" publication (https://doi.org/10.1101/2020.08.16.252767). The Cyclists dataset was generated by Duggal et al (see original publication, https://doi.org/10.1111/acel.12750) and it contains data on immunophenotyping of 120 elderly individuals with a high level of physical activity i.e. master cyclists and 75 age-matched controls with low levels of physical activity (non-cyclists) analyzed using flow cytometry.
DOI: 10.5281/zenodo.4115625
title: Immunophenotyping dataset of master cylists used for SIMON analysis

description: The Cyclists dataset was used for SIMON analysis as described in the "SIMON: open-source knowledge discovery platform" publication (https://doi.org/10.1101/2020.08.16.252767). The Cyclists dataset was generated by Duggal et al (see original publication, https://doi.org/10.1111/acel.12750) and it contains data on immunophenotyping of 120 elderly individuals with a high level of physical activity i.e. master cyclists and 75 age-matched controls with low levels of physical activity (non-cyclists) analyzed using flow cytometry.
DOI: 10.5281/zenodo.4121469
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.5281/zenodo.4121500
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.6084/m9.figshare.13134884
title: Flow phantom simulations (spatial resol 2mm3)

description: VTK temporal phase images in the cycle of the 4D flow MRI phantom's simulation. SMRI velocity field and low-resolution CFD velocity field correspond to 'velocity' and 'U_LR' arrays, respectively. The simulated 4D flow MRI sequence is also included.
DOI: 10.6084/m9.figshare.13134806
title: Poiseuille flow test case

description: The compressed file contains the simulated k-space signals (signals.h5), reconstructed images (img00.vts), and the error vtk image between theoretical Poiseuille flow and reconstructed image (error.vts), for particle densities varying from 1 to 4096 particles/voxels. Reconstruction and error calculation python scripts are also included.
DOI: 10.6084/m9.figshare.13134806.v1
title: Poiseuille flow test case

description: The compressed file contains the simulated k-space signals (signals.h5), reconstructed images (img00.vts), and the error vtk image between theoretical Poiseuille flow and reconstructed image (error.vts), for particle densities varying from 1 to 4096 particles/voxels. Reconstruction and error calculation python scripts are also included.
DOI: 10.21227/76ma-tw16
title: EchoBERT echo dataset

description: The dataset consists of echo data collected at the Matre research station (61°N) of the Institute of Marine Research (IMR), Norway. Six square sea cages (12 × 12 m and 15 m depth; approximately 2000 m^3) were used. The fish's vertical distribution and density were observed continuously by a PC-based echo integration system (CageEye MK IV, software version 1.1.1., CageEye AS, Steinkjer, Norway) connected to an upward facing transducer which multiplexes between 50 kHz (42° acoustic beam angle) and 200 kHz (14° beam angle). However, only the 50 kHz data was used. Echo intensity, which is proportional to fish density, was integrated at 5 cm depth intervals. All six cages were respectively monitored by one CageEye transducer positioned at 20 m depth (below the cage bottom) and directed towards the cage center.
DOI: 10.21227/fcf4-8j88
title: EchoBERT echo dataset

description: The dataset consists of echo data collected at the Matre research station (61°N) of the Institute of Marine Research (IMR), Norway. Six square sea cages (12 × 12 m and 15 m depth; approximately 2000 m^3) were used. The fish's vertical distribution and density were observed continuously by a PC-based echo integration system (CageEye MK IV, software version 1.1.1., CageEye AS, Steinkjer, Norway) connected to an upward facing transducer which multiplexes between 50 kHz (42° acoustic beam angle) and 200 kHz (14° beam angle). However, only the 50 kHz data was used. Echo intensity, which is proportional to fish density, was integrated at 5 cm depth intervals. All six cages were respectively monitored by one CageEye transducer positioned at 20 m depth (below the cage bottom) and directed towards the cage center.
DOI: 10.21335/nmdc-nersc-1237754860
title: Fram Strait/ACOBAR: Range and depth average sea water temperature from acoustic tomography measurements - Fram Strait - Sep 2010 - Jul 2011 and Sep 2011 - Jul 2012

description: Range and depth averaged ocean sound speed and temperature obtained from the ACOBAR acoustic tomography experiment in Fram Strait. Depth and range averaged "Sound speed" between source and receiver pairs are found from observed acoustic travel times using an inversion scheme.
DOI: 10.5281/zenodo.4121527
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.5281/zenodo.4121558
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.5281/zenodo.4121516
title: Microbiome dataset used in SIMON analysis for early-stage detection of cancer

description: The Zeller dataset contains information on the microbiome species abundance in healthy individuals and colorectal cancer patients (doi: 10.15252/msb.20145645) and was used for the SIMON analysis as described (https://doi.org/10.1101/2020.08.16.252767). The data was access through <em>MetagenomicData</em> package as described by Pasolli and colleagues (doi: 10.1038/nmeth.4468). In total 184 individuals were included of which 93 were healthy controls and 91 colorectal cancer patients.
DOI: 10.5281/zenodo.4121515
title: Microbiome dataset used in SIMON analysis for early-stage detection of cancer

description: The Zeller dataset contains information on the microbiome species abundance in healthy individuals and colorectal cancer patients (doi: 10.15252/msb.20145645) and was used for the SIMON analysis as described (https://doi.org/10.1101/2020.08.16.252767). The data was access through <em>MetagenomicData</em> package as described by Pasolli and colleagues (doi: 10.1038/nmeth.4468). In total 184 individuals were included of which 93 were healthy controls and 91 colorectal cancer patients.
DOI: 10.5281/zenodo.4121582
title: SELENE_COU_test

description: Données structurées des glissements sémantiques de COU dans les langues sénégambiennes
DOI: 10.5281/zenodo.4121322
title: Analysis of human humoral responses in a typhoid vaccine efficacy trial used for SIMON analysis

description: The VAST dataset contains data from 72 individuals enrolled in the clinical study to evaluate humoral responses in a typhoid vaccine efficacy trial in a controlled human <em>Salmonella </em>Typhi infection model (see original publication: https://doi.org/10.3389/fimmu.2019.02582). Only day 0 (day of the challenge) log-transformed data were used in the SIMON analysis, as described in the publication (https://doi.org/10.1101/2020.08.16.252767). Individuals were vaccinated with either a purified Vi polysaccharide (Vi-PS) vaccine (35 individuals) or the Vi tetanus toxoid conjugate (Vi-TT) vaccine (37 individuals) one month prior to oral challenge with live <em>Salmonella </em>Typhi. Out of 72 individuals, 26 developed an acute typhoid infection following the challenge.
DOI: 10.5281/zenodo.4121321
title: Analysis of human humoral responses in a typhoid vaccine efficacy trial used for SIMON analysis

description: The VAST dataset contains data from 72 individuals enrolled in the clinical study to evaluate humoral responses in a typhoid vaccine efficacy trial in a controlled human <em>Salmonella </em>Typhi infection model (see original publication: https://doi.org/10.3389/fimmu.2019.02582). Only day 0 (day of the challenge) log-transformed data were used in the SIMON analysis, as described in the publication (https://doi.org/10.1101/2020.08.16.252767). Individuals were vaccinated with either a purified Vi polysaccharide (Vi-PS) vaccine (35 individuals) or the Vi tetanus toxoid conjugate (Vi-TT) vaccine (37 individuals) one month prior to oral challenge with live <em>Salmonella </em>Typhi. Out of 72 individuals, 26 developed an acute typhoid infection following the challenge.
DOI: 10.5517/ccdc.csd.cc231lj9
title: CCDC 1937950: Experimental Crystal Structure Determination

description: Related Article: Bren E. Cole, Thibault Cheisson, Joshua J. M. Nelson, Robert F. Higgins, Michael R. Gau, Patrick J Carroll, Eric J. Schelter|2020|ACS Sustain.Chem.Eng.|8|14786|doi:10.1021/acssuschemeng.0c03974
DOI: 10.5517/ccdc.csd.cc231lmd
title: CCDC 1937953: Experimental Crystal Structure Determination

description: Related Article: Bren E. Cole, Thibault Cheisson, Joshua J. M. Nelson, Robert F. Higgins, Michael R. Gau, Patrick J Carroll, Eric J. Schelter|2020|ACS Sustain.Chem.Eng.|8|14786|doi:10.1021/acssuschemeng.0c03974
DOI: 10.5517/ccdc.csd.cc231lnf
title: CCDC 1937954: Experimental Crystal Structure Determination

description: Related Article: Bren E. Cole, Thibault Cheisson, Joshua J. M. Nelson, Robert F. Higgins, Michael R. Gau, Patrick J Carroll, Eric J. Schelter|2020|ACS Sustain.Chem.Eng.|8|14786|doi:10.1021/acssuschemeng.0c03974
DOI: 10.5517/ccdc.csd.cc231lpg
title: CCDC 1937955: Experimental Crystal Structure Determination

description: Related Article: Bren E. Cole, Thibault Cheisson, Joshua J. M. Nelson, Robert F. Higgins, Michael R. Gau, Patrick J Carroll, Eric J. Schelter|2020|ACS Sustain.Chem.Eng.|8|14786|doi:10.1021/acssuschemeng.0c03974
DOI: 10.5517/ccdc.csd.cc231lqh
title: CCDC 1937956: Experimental Crystal Structure Determination

description: Related Article: Bren E. Cole, Thibault Cheisson, Joshua J. M. Nelson, Robert F. Higgins, Michael R. Gau, Patrick J Carroll, Eric J. Schelter|2020|ACS Sustain.Chem.Eng.|8|14786|doi:10.1021/acssuschemeng.0c03974
DOI: 10.5517/ccdc.csd.cc231lrj
title: CCDC 1937957: Experimental Crystal Structure Determination

description: Related Article: Bren E. Cole, Thibault Cheisson, Joshua J. M. Nelson, Robert F. Higgins, Michael R. Gau, Patrick J Carroll, Eric J. Schelter|2020|ACS Sustain.Chem.Eng.|8|14786|doi:10.1021/acssuschemeng.0c03974
DOI: 10.5517/ccdc.csd.cc231lsk
title: CCDC 1937958: Experimental Crystal Structure Determination

description: Related Article: Bren E. Cole, Thibault Cheisson, Joshua J. M. Nelson, Robert F. Higgins, Michael R. Gau, Patrick J Carroll, Eric J. Schelter|2020|ACS Sustain.Chem.Eng.|8|14786|doi:10.1021/acssuschemeng.0c03974
DOI: 10.5517/ccdc.csd.cc231lvm
title: CCDC 1937960: Experimental Crystal Structure Determination

description: Related Article: Bren E. Cole, Thibault Cheisson, Joshua J. M. Nelson, Robert F. Higgins, Michael R. Gau, Patrick J Carroll, Eric J. Schelter|2020|ACS Sustain.Chem.Eng.|8|14786|doi:10.1021/acssuschemeng.0c03974
DOI: 10.13145/bacdive102901.20170425.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102903.20170425.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102904.20170425.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102905.20170425.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102906.20170425.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102907.20170425.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102908.20170425.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103792.20170425.1
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103793.20170425.1
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103794.20170425.1
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103795.20170425.1
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103796.20170425.1
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive103797.20170425.1
title: Rhodococcus sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.