cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18282707
title: Buteo buteo transcripts mapping to MHC I and II alleles

description: De novo assembled transcripts (Trinity) from RNA sequencing of 81 common buzzard nestlings, mapping to MHC I and II alleles known from <i>Buteo buteo</i>. <br>Original transcriptome identifiers are provided as a comment prior to the given transcripts.<br><br>
DOI: 10.6084/m9.figshare.18282707.v1
title: Buteo buteo transcripts mapping to MHC I and II alleles

description: De novo assembled transcripts (Trinity) from RNA sequencing of 81 common buzzard nestlings, mapping to MHC I and II alleles known from <i>Buteo buteo</i>. <br>Original transcriptome identifiers are provided as a comment prior to the given transcripts.<br><br>
DOI: 10.6084/m9.figshare.18258494.v1
title: Realizing topological edge states with Rydberg-atom synthetic dimensions: Datasets

description: This zip file contains the datasets presented in the paper titled "Realizing topological edge states with Rydberg-atom synthetic dimensions". <br>Contains .csv files.
DOI: 10.18154/rwth-2021-11526
title: Nutzerbefragung Feuerwehrbekleidung

description: doi:10.18154/RWTH-2021-11526
DOI: 10.25934/pr00005710.1
title: Available IPD datapackage for study 'A Phase III, Multicenter, Randomized, Blinded, Placebo-controlled Trial of Carboplatin and Gemcitabine Plus Bevacizumab in Patients With Platinum-sensitive Recurrent Ovary, Primary Peritoneal, or Fallopian Tube Carcinoma'

description: This is a placebo-controlled, randomized, multicenter Phase III study that will evaluate the safety and efficacy of bevacizumab, administered in combination with carboplatin with gemcitabine, in women with platinum-sensitive recurrent epithelial ovarian, primary peritoneal, or fallopian tube carcinoma.
DOI: 10.6084/m9.figshare.17206838
title: Mutants

description: GFP Mutants - Input and output (log) files for Gaussian
DOI: 10.6084/m9.figshare.17206838.v2
title: Mutants

description: GFP Mutants - Input and output (log) files for Gaussian
DOI: 10.6084/m9.figshare.17206838.v1
title: Mutants

description: GFP Mutants
DOI: 10.21410/dshs_2016/mb6s9n
title: Les Français et la politique [1983]

description: Cette enquête porte sur le thème du clivage gauche/droite.
DOI: 10.5281/zenodo.5841610
title: Fabrication of a Soft Robotic Gripper With Integrated Strain Sensing Elements Using Multi-Material Additive Manufacturing

description: With the purpose of making soft robotic structures with embedded sensors, additive manufacturing techniques like fused deposition modeling (FDM) are popular. Thermoplastic polyurethane (TPU) filaments, with and without conductive fillers, are now commercially available. However, conventional FDM still has some limitations because of the marginal compatibility with soft materials. Material selection criteria for the available material options for FDM have not been established. In this study, an open-source soft robotic gripper design has been used to evaluate the FDM printing of TPU structures with integrated strain sensing elements in order to provide some guidelines for the material selection when an elastomer and a soft piezoresistive sensor are combined. Such soft grippers, with integrated strain sensing elements, were successfully printed using a multi-material FDM 3D printer. Characterization of the integrated piezoresistive sensor function, using dynamic tensile testing, revealed that the sensors exhibited good linearity up to 30% strain, which was sufficient for the deformation range of the selected gripper structure. Grippers produced using four different TPU materials were used to investigate the effect of the Shore hardness of the TPU on the piezoresistive sensor properties. The results indicated that the <em>in situ</em> printed strain sensing elements on the soft gripper were able to detect the deformation of the structure when the tentacles of the gripper were open or closed. The sensor signal could differentiate between the picking of small or big objects and when an obstacle prevented the tentacles from opening. Interestingly, the sensors embedded in the tentacles exhibited good reproducibility and linearity, and the sensitivity of the sensor response changed with the Shore hardness of the gripper. Correlation between TPU Shore hardness, used for the gripper body and sensitivity of the integrated <em>in situ</em> strain sensing elements, showed that material selection affects the sensor signal significantly.
DOI: 10.5281/zenodo.5841609
title: Fabrication of a Soft Robotic Gripper With Integrated Strain Sensing Elements Using Multi-Material Additive Manufacturing

description: With the purpose of making soft robotic structures with embedded sensors, additive manufacturing techniques like fused deposition modeling (FDM) are popular. Thermoplastic polyurethane (TPU) filaments, with and without conductive fillers, are now commercially available. However, conventional FDM still has some limitations because of the marginal compatibility with soft materials. Material selection criteria for the available material options for FDM have not been established. In this study, an open-source soft robotic gripper design has been used to evaluate the FDM printing of TPU structures with integrated strain sensing elements in order to provide some guidelines for the material selection when an elastomer and a soft piezoresistive sensor are combined. Such soft grippers, with integrated strain sensing elements, were successfully printed using a multi-material FDM 3D printer. Characterization of the integrated piezoresistive sensor function, using dynamic tensile testing, revealed that the sensors exhibited good linearity up to 30% strain, which was sufficient for the deformation range of the selected gripper structure. Grippers produced using four different TPU materials were used to investigate the effect of the Shore hardness of the TPU on the piezoresistive sensor properties. The results indicated that the <em>in situ</em> printed strain sensing elements on the soft gripper were able to detect the deformation of the structure when the tentacles of the gripper were open or closed. The sensor signal could differentiate between the picking of small or big objects and when an obstacle prevented the tentacles from opening. Interestingly, the sensors embedded in the tentacles exhibited good reproducibility and linearity, and the sensitivity of the sensor response changed with the Shore hardness of the gripper. Correlation between TPU Shore hardness, used for the gripper body and sensitivity of the integrated <em>in situ</em> strain sensing elements, showed that material selection affects the sensor signal significantly.
DOI: 10.5281/zenodo.5841595
title: Piezoresistive sensor fiber composites based on silicone elastomers for the monitoring of the position of a robot arm

description: Combining conductive fillers like carbon black with elastomers allows the development of soft elastomer strain sensors that can reach very large elongations, an important requirement for many robotic applications. However, when the conductive filler is introduced in the polymer, significant stiffening occurs, affecting the mechanical properties, e.g. Young’s Modulus, of the soft structure. In this attempt, single piezoresistive fiber composites were successfully fabricated, without drastically increasing the stiffness. Two silicone elastomers that are widely used in robotic applications were examined as matrix materials. Furthermore, modeling the stresses exerted on the fiber inside the composite was successfully used to predict the detachment of fiber inside the matrix, observed by visual inspection. For the PDMS based composite, pre-straining improved sensor properties, which could be confirmed for the monitoring of the movement of the crane robot. The results showed that the pre-strained piezoresistive sensor fiber-matrix composites positions of the robot crane can be monitored even at low strains.
DOI: 10.5281/zenodo.5841594
title: Piezoresistive sensor fiber composites based on silicone elastomers for the monitoring of the position of a robot arm

description: Combining conductive fillers like carbon black with elastomers allows the development of soft elastomer strain sensors that can reach very large elongations, an important requirement for many robotic applications. However, when the conductive filler is introduced in the polymer, significant stiffening occurs, affecting the mechanical properties, e.g. Young’s Modulus, of the soft structure. In this attempt, single piezoresistive fiber composites were successfully fabricated, without drastically increasing the stiffness. Two silicone elastomers that are widely used in robotic applications were examined as matrix materials. Furthermore, modeling the stresses exerted on the fiber inside the composite was successfully used to predict the detachment of fiber inside the matrix, observed by visual inspection. For the PDMS based composite, pre-straining improved sensor properties, which could be confirmed for the monitoring of the movement of the crane robot. The results showed that the pre-strained piezoresistive sensor fiber-matrix composites positions of the robot crane can be monitored even at low strains.
DOI: 10.5281/zenodo.5841572
title: Multi-material 3D Printing of Thermoplastic Elastomers for Development of Soft Robotic Structures with Integrated Sensor Elements

description: Embedded sensing can benefit soft robots with the ability to interact with their environment but producing embedded soft sensors can be challenging. Multi-material Fused Deposition Modeling (FDM) additive manufacturing allows producing complex structures, by combining more than one kind of polymeric material. For multi-material FDM, conductive thermoplastic elastomer filaments have been developed. This allows the printing of flexible functional structures, based on thermoplastic elastomer structures with conductive paths that are of great interest for stretchable electronics and soft robotic applications. In this study, stretchable piezoresistive elastomer strain sensor composites were successfully produced by using multi-material FDM. A piezoresistive thermoplastic elastomer was printed on the top of a nonconductive, flexible thermoplastic elastomer strip using FDM multi-material 3D printer. FDM elastomer filaments with different shore hardness as substrate materials for the gripper structure were used. The hardness of the elastomer affected the printability and the adhesion to the conductive elastomer material, which was used as a strain sensor material. The hardness affected the strain sensor properties too. The piezoresistive response, dynamic behavior, drift, relaxation and sensitivity of the printed multi-material strips were investigated by tensile tests. Soft robotic grippers with integrated sensing elements to detect deformation while touching the objective were selected as a case study. The soft grippers with the integrated sensors exhibited intelligent response by recognizing when they were griping a small or big object and when an obstacle was inhibiting their function.
DOI: 10.5281/zenodo.5841571
title: Multi-material 3D Printing of Thermoplastic Elastomers for Development of Soft Robotic Structures with Integrated Sensor Elements

description: Embedded sensing can benefit soft robots with the ability to interact with their environment but producing embedded soft sensors can be challenging. Multi-material Fused Deposition Modeling (FDM) additive manufacturing allows producing complex structures, by combining more than one kind of polymeric material. For multi-material FDM, conductive thermoplastic elastomer filaments have been developed. This allows the printing of flexible functional structures, based on thermoplastic elastomer structures with conductive paths that are of great interest for stretchable electronics and soft robotic applications. In this study, stretchable piezoresistive elastomer strain sensor composites were successfully produced by using multi-material FDM. A piezoresistive thermoplastic elastomer was printed on the top of a nonconductive, flexible thermoplastic elastomer strip using FDM multi-material 3D printer. FDM elastomer filaments with different shore hardness as substrate materials for the gripper structure were used. The hardness of the elastomer affected the printability and the adhesion to the conductive elastomer material, which was used as a strain sensor material. The hardness affected the strain sensor properties too. The piezoresistive response, dynamic behavior, drift, relaxation and sensitivity of the printed multi-material strips were investigated by tensile tests. Soft robotic grippers with integrated sensing elements to detect deformation while touching the objective were selected as a case study. The soft grippers with the integrated sensors exhibited intelligent response by recognizing when they were griping a small or big object and when an obstacle was inhibiting their function.
DOI: 10.25934/pr00005723.0
title: Available IPD datapackage for study 'A Randomized, Open-label Study Comparing the Anti-tumor Effect of Treatment With Tarceva Plus Avastin Versus Chemotherapy Plus Avastin in Patients With Advanced Non-small Cell Lung Cancer'

description: This 2 arm study will compare the efficacy and safety of Tarceva plus Avastin, and chemotherapy plus Avastin, in the first-line treatment of patients with advanced non-small cell lung cancer. Patients will be randomized to receive either Tarceva 150mg p.o. daily plus Avastin 15mg/kg i.v. every 3 weeks, or standard platinum-based chemotherapy (4-6 cycles) plus Avastin. The anticipated time on study treatment is until disease progression, and the target sample size is 100-500 individuals.
DOI: 10.5281/zenodo.5841662
title: Supramolecular Self-Healing Sensor Fiber Composites for Damage Detection in Piezoresistive Electronic Skin for Soft Robots

description: Self-healing materials can prolong the lifetime of structures and products by enabling the repairing of damage. However, detecting the damage and the progress of the healing process remains an important issue. In this study, self-healing, piezoresistive strain sensor fibers (ShSFs) are used for detecting strain deformation and damage in a self-healing elastomeric matrix. The ShSFs were embedded in the self-healing matrix for the development of self-healing sensor fiber composites (ShSFC) with elongation at break values of up to 100%. A quadruple hydrogen-bonded supramolecular elastomer was used as a matrix material. The ShSFCs exhibited a reproducible and monotonic response. The ShSFCs were investigated for use as sensorized electronic skin on 3D-printed soft robotic modules, such as bending actuators. Depending on the bending actuator module, the electronic skin was loaded under either compression (pneumatic-based module) or tension (tendon-based module). In both configurations, the ShSFs could be successfully used as deformation sensors, and in addition, detect the presence of damage based on the sensor signal drift. The sensor under tension showed better recovery of the signal after healing, and smaller signal relaxation. Even with the complete severing of the fiber, the piezoresistive properties returned after the healing, but in that case, thermal heat treatment was required. With their resilient response and self-healing properties, the supramolecular fiber composites can be used for the next generation of soft robotic modules
DOI: 10.5281/zenodo.5841661
title: Supramolecular Self-Healing Sensor Fiber Composites for Damage Detection in Piezoresistive Electronic Skin for Soft Robots

description: Self-healing materials can prolong the lifetime of structures and products by enabling the repairing of damage. However, detecting the damage and the progress of the healing process remains an important issue. In this study, self-healing, piezoresistive strain sensor fibers (ShSFs) are used for detecting strain deformation and damage in a self-healing elastomeric matrix. The ShSFs were embedded in the self-healing matrix for the development of self-healing sensor fiber composites (ShSFC) with elongation at break values of up to 100%. A quadruple hydrogen-bonded supramolecular elastomer was used as a matrix material. The ShSFCs exhibited a reproducible and monotonic response. The ShSFCs were investigated for use as sensorized electronic skin on 3D-printed soft robotic modules, such as bending actuators. Depending on the bending actuator module, the electronic skin was loaded under either compression (pneumatic-based module) or tension (tendon-based module). In both configurations, the ShSFs could be successfully used as deformation sensors, and in addition, detect the presence of damage based on the sensor signal drift. The sensor under tension showed better recovery of the signal after healing, and smaller signal relaxation. Even with the complete severing of the fiber, the piezoresistive properties returned after the healing, but in that case, thermal heat treatment was required. With their resilient response and self-healing properties, the supramolecular fiber composites can be used for the next generation of soft robotic modules
DOI: 10.6084/m9.figshare.18282797
title: MBALT17A_compiled.csv

description: Mercedes-Benz Auto Lease Trust (MBALT) 2017-A lease performance data. Accessed and cleaned via EDGAR of the SEC. Available to public.
DOI: 10.25934/pr00005726.1
title: Available IPD datapackage for study 'A Double-blind, Randomised, Multicenter, Phase III Study of Bevacizumab in Combination With Capecitabine and Cisplatin Versus Placebo in Combination With Capecitabine and Cisplatin, as First-line Therapy in Patients With Advanced Gastric Cancer'

description: This study will compare treatment with bevacizumab in combination with capecitabine and cisplatin versus placebo in combination with capecitabine and cisplatin, as first-line therapy in patients with locally advanced or metastatic gastric cancer who had not received prior chemotherapy for advanced or metastatic disease.
DOI: 10.17632/pt5mzwdwfz.1
title: Supplementary Annex of Experiments Pertaining to Peritoneal Carcinomatosis

description: The data available here are used in the publication: "Ligand inhibition of circulating PAI-1 in an enclosed biological system exploits paracrine addiction for therapy in peritoneal carcinomatosis".
DOI: 10.17632/7t9wyjr49h.1
title: Original images

description: Original images containing phase-contrast images, H&E/immunofluorescence images, Fish images and Western blot images.
DOI: 10.17632/sh58hkzfmd.1
title: Label-free proteomic comparative analysis of cow placental proteins enzymatic hydrolysis by different proteases

description: Supplementary data of manuscript titled "Label-free proteomic comparative analysis of cow placental proteins enzymatic hydrolysis by different proteases".
DOI: 10.25934/pr00005738.2
title: Available IPD datapackage for study 'A Randomized, Open-label Phase III Intergroup Study: Effect of Adding Bevacizumab to Cross Over Fluoropyrimidine Based Chemotherapy (CTx) in Patients With Metastatic Colorectal Cancer and Disease Progression Under First-line Standard CTx/Bevacizumab Combination'

description: This study will evaluate the efficacy and safety of adding bevacizumab to crossover fluoropyrimidine-based chemotherapy in patients with metastatic colorectal cancer who have experienced disease progression under first line treatment with standard chemotherapy plus bevacizumab. Participants will receive chemotherapy alone, or in combination with bevacizumab. The anticipated time on study treatment is until disease progression or unacceptable toxicity occurs. Participants are allowed to continue on bevacizumab, even after stopping chemotherapy.
DOI: 10.17632/cy6cvx3ryv.1
title: N-Caltech101

description: Caltech101 images captured using a Dynamic Vision Sensor as described in the related paper (see link).
DOI: 10.17632/hpr8fr7ck6.1
title: Dataset for dynamics and conformational changes in human NEIL2 protein

description: Dataset related to the article "Dataset for dynamics and conformational changes in human NEIL2 protein analyzed by integrative structural biology approach" in Data in Brief journal. The data presented here are the initial and additional data for experiments on studying the structural features of the hNEIL2 protein. There are six folders: "Circular Dichroism," "DynamX data," "Figures," "Molecular Dynamics," "MS C4 column", and "Tycho." The "Circular Dichroism," "MS C4 column", and "Tycho" folders contain the raw data for the respective experiments. The "Molecular Dynamics" folder contains the "MD movies" and "MD raw data" subfolders. In "MD movies,"  there are MD movies of 100 ns MD trajectory for all protein states.  "MD raw data" folder includes the archives containing initial modeling data for open and closed models (corresponding topology files - * .prmtop and 100 ns MD trajectory files - * .nc, all scripts and starting models).
DOI: 10.17632/2mkx8ht3k8.1
title: Dataset for The Aboveground Biomass and Vegetative Carbon Dioxide Stocks of Bambusa vulgaris in Ghana’s Bobiri Forest

description: The dataset attached was produced and analysed in the undertaking of the study “Aboveground Biomass and Vegetative Carbon Dioxide Sequestration of Bambusa vulgaris in Ghana’s Bobiri Forest”. The study aimed to estimate the vegetative carbon stock of B. vulgaris, the most widespread bamboo species in Ghana, by determining the aboveground biomass and the carbon stocks in the vegetative carbon pools (aboveground, belowground, coarse woody (dead bamboo), and litter. The study was conducted in the Bobiri Forest Reserve.
Compartment information has been presented in the compartment tab in the data file attached. The dataset comprises raw and processed data from the three carbon pools measured i.e. aboveground biomass, coarse woody debris, and litter pool. The aboveground biomass was measured for n = 2,114 and the parameters were the clump dimensions (length and breadth), number of culms per clump, age of each culm per clump, diameter at breast height, and the stand area. Sampled culms were analysed for density and carbon content. The aboveground biomass was estimated for each culm using the allometric equation AGB=0.3432(ρ×DBH^2 )^1.1285 . 
Coarse woody debris was measured in the field by establishing a 100X1 m transect in each compartment. Measurements were made for n = 311 dead culms to find their volume, mass, density, and carbon content. Litter measurements were also done by collecting litter in quadrants from five positions within sample plots. Litter samples were analysed in the laboratory for dry weight and carbon content. 
The carbon stocks in the various carbon pools were estimated by finding the product between the carbon content and the biomass measured. Vegetative carbon stock was then calculated by adding the carbon stock in the aboveground, belowground, coarse woody, and litter. This study did not employ a destructive approach or use an allometric model to estimate the belowground biomass of bamboo culms. Therefore, an existing root-shoot ratio of 0.2 was used to predict the belowground biomass from the estimated aboveground biomass.