cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6087368
title: Fast and Accurate Data Collection for Macromolecular Crystallography Using the JUNGFRAU Detector

description: XDS/XSCALE/SHELX output as presented as in the "Fast and Accurate Data Collection for Macromolecular Crystallography Using the JUNGFRAU Detector" paper.<br>Figure 2-- Weak_signal_Thau1_E1M-- Weak_signal_Thau1_JF1M<br>Figure 3-- Photon_rate_Thau3_JF1M_1deg_s-- Photon_rate_Thau3_JF1M_20deg_s-- Photon_rate_Thau3_JF1M_50deg_s-- Photon_rate_Thau3_JF1M_100deg_s<br>Figure 4A-B and 5A-F-- Pixel_uniformity_Thau2_JF1M-- Pixel_uniformity_Thau2_E1M-50-- Pixel_uniformity_Thau2_E1M-60<br>Figure 4C-D-- Pixel_uniformity_Thau2_JF1M_native_SAD_60deg-- Pixel_uniformity_Thau2_E1M-50_native_SAD_60deg<br>Figure 5H-I-- Pixel_uniformity_Thau2_E1M-50_shifting-- Pixel_uniformity_Thau2_E1M-60_shifting-- Pixel_uniformity_Thau2_JF1M_shifting<br>Figure 6-- Native_SAD_Thau3-- Native_SAD_PepN-- Native_SAD_Lyso_12p4keV
DOI: 10.6084/m9.figshare.6087368.v1
title: Fast and Accurate Data Collection for Macromolecular Crystallography Using the JUNGFRAU Detector

description: XDS/XSCALE/SHELX output as presented as in the "Fast and Accurate Data Collection for Macromolecular Crystallography Using the JUNGFRAU Detector" paper.<br>Figure 2-- Weak_signal_Thau1_E1M-- Weak_signal_Thau1_JF1M<br>Figure 3-- Photon_rate_Thau3_JF1M_1deg_s-- Photon_rate_Thau3_JF1M_20deg_s-- Photon_rate_Thau3_JF1M_50deg_s-- Photon_rate_Thau3_JF1M_100deg_s<br>Figure 4A-B and 5A-F-- Pixel_uniformity_Thau2_JF1M-- Pixel_uniformity_Thau2_E1M-50-- Pixel_uniformity_Thau2_E1M-60<br>Figure 4C-D-- Pixel_uniformity_Thau2_JF1M_native_SAD_60deg-- Pixel_uniformity_Thau2_E1M-50_native_SAD_60deg<br>Figure 5H-I-- Pixel_uniformity_Thau2_E1M-50_shifting-- Pixel_uniformity_Thau2_E1M-60_shifting-- Pixel_uniformity_Thau2_JF1M_shifting<br>Figure 6-- Native_SAD_Thau3-- Native_SAD_PepN-- Native_SAD_Lyso_12p4keV
DOI: 10.6084/m9.figshare.6087197
title: 99_V3V4_Silva_naive_bayes_classifier.qza

description: Naive bayes 16S classifier for QIIME2 trained on the V3-V4 region using the SILVA_128_QIIME_release.<br><b>Path to taxonomy file used for training:</b>SILVA_128_QIIME_release/taxonomy/taxonomy_all/99/taxonomy_all_levels.txt<br><br><b>The following primer pair was used:</b>F: S-D-Bact-0341-b-S-17, 5′-CCTACGGGNGGCWGCAG-3′,R: S-D-Bact-0785-a-A-21, 5′-GACTACHVGGGTATCTAATCC-3https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3592464/<br><b>Additional information available here:</b>https://github.com/forestdussault/AmpliconPipeline<br>
DOI: 10.6084/m9.figshare.6087155
title: Spreadsheet - Deciding the amount of effort to spend in a cognitive task - Matarazzo et al..sav

description: dataset of a study examining the effects of a performance feedback, relate feelings and a monetary reward on decision-making
DOI: 10.6084/m9.figshare.6087155.v1
title: Spreadsheet - Deciding the amount of effort to spend in a cognitive task - Matarazzo et al..sav

description: dataset of a study examining the effects of a performance feedback, relate feelings and a monetary reward on decision-making
DOI: 10.6084/m9.figshare.6087140
title: Enhancing Discoverability of Public Health and Epidemiology Research Data

description: Wellcome commissioned research to evaluate how forum partners could make research datasets easier for potiential users to discover and re-use.<br>The report was completed in July 2014.<br>The research team was led by Dr Tito Castillo at the University of Cambridge, with partners from the: Farr InstituteLondon School of Hygiene and Tropical MedicineOpen Data FoundationUbiquity PressUK Data Archive.
DOI: 10.6084/m9.figshare.6087140.v1
title: Enhancing Discoverability of Public Health and Epidemiology Research Data

description: Wellcome commissioned research to evaluate how forum partners could make research datasets easier for potiential users to discover and re-use.<br>The report was completed in July 2014.<br>The research team was led by Dr Tito Castillo at the University of Cambridge, with partners from the: Farr InstituteLondon School of Hygiene and Tropical MedicineOpen Data FoundationUbiquity PressUK Data Archive.
DOI: 10.6084/m9.figshare.6087125
title: Enabling data linkage to maximise the value of public health research data

description: Data linkage means bringing together two or more sources of information which relate to the same individual, event, institution or place. Wellcome commissioned research to explore the opportunities and challenges around data linkage in public health research.The work was completed in March 2015 and done by researchers at the:University of the West of England, UKUniversity of Cape Town, South AfricaCentre for Injury Prevention Research, Bangladesh.The research looked at low-, middle- and high-income countries and used a mix of literature review, case studies and expert interviews.
DOI: 10.6084/m9.figshare.6087125.v1
title: Enabling data linkage to maximise the value of public health research data

description: Data linkage means bringing together two or more sources of information which relate to the same individual, event, institution or place. Wellcome commissioned research to explore the opportunities and challenges around data linkage in public health research.The work was completed in March 2015 and done by researchers at the:University of the West of England, UKUniversity of Cape Town, South AfricaCentre for Injury Prevention Research, Bangladesh.The research looked at low-, middle- and high-income countries and used a mix of literature review, case studies and expert interviews.
DOI: 10.6084/m9.figshare.6087044
title: Metal-dielectric parabolic antenna for directing single photons

description: This project shares experimental and theoretical data presented in the paper "Metal-dielectric parabolic antenna for directing single photons" available at https://pubs.acs.org/doi/10.1021/acs.nanolett.8b00557<br>
DOI: 10.6084/m9.figshare.6087044.v3
title: Metal-dielectric parabolic antenna for directing single photons

description: This project shares experimental and theoretical data presented in the paper "Metal-dielectric parabolic antenna for directing single photons" published in Nano Letters
DOI: 10.6084/m9.figshare.6087032
title: Smart Book Recommender Evaluation Data

description: This compressed zip file contains all the data regarding the evaluation study of the Smart Book Recommender (SBR). SBR is a semantically enhanced recommendation engine, developed in collaboration with Springer Nature (SN), for suggesting Springer books, journals and conference proceedings for conferences. SBR characterises conferences in terms of the topics covered in their proceedings and applying cosine pairwise similarity computation to produce a set of recommendations. <br>We evaluated SBR on Springer conference series in the field of Computer Science with the help of seven publishing editors and seven researchers from The Open University. The evaluation consisted of two parts: 1) A quantitative analysis, which focused on analysing how evaluators rated each SBR recommendations for two conference series of their choosing.2) A qualitative analysis, which focused on analysing the answers of the surveys that the evaluators completed after a hands-on session with SBR. <br>This compressed file contains the following two CSV files: i) Quantitative - Recommendation Ratings, and ii) Qualitative - Survey Responses. Below we describe the datasets.
DOI: 10.6084/m9.figshare.6087032.v1
title: Smart Book Recommender Evaluation Data

description: This dataset contains all the data regarding the evaluation study of the Smart Book Recommender (SBR). SBR is a semantically enhanced recommendation engine, developed in collaboration with Springer Nature (SN), for suggesting Springer books, journals and conference proceedings for conferences. SBR characterises conference in terms of their associated semantic topic covered in their proceedings and apply cosine pairwise similarity computation to find recommendations. <br>We evaluated SBR on conference series in the field of Computer Science with the help of seven SN editors and seven researchers from The Open University. The evaluation consisted of two parts: i) A quantitative analysis, which focused on analysing how evaluators rated each recommended item outputted by the SBR for two conference series of their choosing and, ii) A qualitative analysis, which focused on analysing the answers of the surveys that the evaluators completed after a hands-on session with SBR.
DOI: 10.6084/m9.figshare.6087023
title: Genome_Abundances

description: log10 TPM genome abundances as determined through read-mapping of metagenomes, in tab-delimited format. <br>
DOI: 10.6084/m9.figshare.6087017
title: Metagenomes_used_for_mapping.xlsx

description: Sample descriptions for the TARA Oceans metagenomes used for read mapping and genome abundance quantification. <br>
DOI: 10.6084/m9.figshare.6087017.v1
title: Metagenomes_used_for_mapping.xlsx

description: Sample descriptions for the TARA Oceans metagenomes used for read mapping and genome abundance quantification. <br>
DOI: 10.6084/m9.figshare.6086990
title: Protein_cluster_annotations

description: EggNOG, Pfam, and TigrFam annotations for all Marinimicrobia protein clusters. <br>
DOI: 10.6084/m9.figshare.6086975
title: protein_cluster_membership

description: Protein cluster membership for all Marinimicrobia genomes. <br>
DOI: 10.6084/m9.figshare.6086975.v1
title: protein_cluster_membership

description: Protein cluster membership for all Marinimicrobia genomes. <br>
DOI: 10.6084/m9.figshare.6086747
title: All data and code from An avian seed dispersal paradox: New Zealand's extinct megafaunal birds did not disperse large seeds

description: Excel file of all data and code used for this manuscript.
DOI: 10.6084/m9.figshare.6086747.v1
title: All data and code from An avian seed dispersal paradox: New Zealand's extinct megafaunal birds did not disperse large seeds

description: Excel file of all data and code used for this manuscript.
DOI: 10.6084/m9.figshare.6086720
title: Associated data from Wing scale ultrastructure underlying convergent and divergent iridescent colours in mimetic <i>Heliconius</i> butterflies

description: Reflectance data and R scripts used to analyse this data; 1d SAXS data. gzip tar directory containing multiple files. See contained "readme.txt" for futher details.
DOI: 10.6084/m9.figshare.6086720.v1
title: Associated data from Wing scale ultrastructure underlying convergent and divergent iridescent colours in mimetic <i>Heliconius</i> butterflies

description: Reflectance data and R scripts used to analyse this data; 1d SAXS data. gzip tar directory containing multiple files. See contained "readme.txt" for futher details.
DOI: 10.6084/m9.figshare.6086639
title: Competing tRNA(CAG) in Ascoidea asiatica

description: These files contain supplementary data to the publication "Endogenous stochastic decoding of the CUG codon by competing Ser- and Leu-tRNAs in <i>Ascoidea asiatica</i>" by <br><i> </i>Stefanie Mühlhausen, Hans Dieter Schmitt, Kuan-Ting Pan, Uwe Plessmann, Henning Urlaub, Laurence D. Hurst and Martin Kollmar.
DOI: 10.6084/m9.figshare.6086639.v1
title: Competing tRNA(CAG) in Ascoidea asiatica

description: These files contain supplementary data to the publication "Endogenous stochastic decoding of the CUG codon by competing Ser- and Leu-tRNAs in <i>Ascoidea asiatica</i>" by <br><i> </i>Stefanie Mühlhausen, Hans Dieter Schmitt, Kuan-Ting Pan, Uwe Plessmann, Henning Urlaub, Laurence D. Hurst and Martin Kollmar.
DOI: 10.6084/m9.figshare.6086636
title: Development of universal vacuum gripper for wall-climbing robot

description: Task performed at a height, such as wall inspections are one of the dangerous tasks for humans. Thus, robotic technology for safety inspection is required. This research focuses on developing robots to climb vertical walls with flat and uneven surfaces, e.g. concrete, tile and riveted structure. To have wall-climbing capability, climbing robots use vacuum pads, claws, magnets, intermolecular force, and adhesive. However, each of these approaches has disadvantages. To achieve wall climbing on an uneven surface without scratching and staining, we have developed a novel vacuum pad named the Universal Vacuum Gripper (UVG), which is based on the Universal Gripper (UG). The UG is a robot hand using jamming transition of coffee powder inside a balloon to grip uneven material. The UVG is a vacuum pad with a deformable skirt based on the UG. If the skirt shape is deformed in accordance with the contact surface, air leaks can be avoided. Moreover, the deformed skirt can be stiffened, thereby working as a gripper. Here, we evaluate the proposed gripper, having both grasping and adhesion force. We also develop a wall-climbing robot with UVGs, and evaluate its performance on uneven surfaces under real-world conditions.
DOI: 10.6084/m9.figshare.6086636.v1
title: Development of universal vacuum gripper for wall-climbing robot

description: Task performed at a height, such as wall inspections are one of the dangerous tasks for humans. Thus, robotic technology for safety inspection is required. This research focuses on developing robots to climb vertical walls with flat and uneven surfaces, e.g. concrete, tile and riveted structure. To have wall-climbing capability, climbing robots use vacuum pads, claws, magnets, intermolecular force, and adhesive. However, each of these approaches has disadvantages. To achieve wall climbing on an uneven surface without scratching and staining, we have developed a novel vacuum pad named the Universal Vacuum Gripper (UVG), which is based on the Universal Gripper (UG). The UG is a robot hand using jamming transition of coffee powder inside a balloon to grip uneven material. The UVG is a vacuum pad with a deformable skirt based on the UG. If the skirt shape is deformed in accordance with the contact surface, air leaks can be avoided. Moreover, the deformed skirt can be stiffened, thereby working as a gripper. Here, we evaluate the proposed gripper, having both grasping and adhesion force. We also develop a wall-climbing robot with UVGs, and evaluate its performance on uneven surfaces under real-world conditions.
DOI: 10.6084/m9.figshare.6086519
title: Data set - Incoming medical students - IRI - 3 situations.xlsx

description: Dataset associated to the short communication untitled: <b>"The Intergroup Bias of Empathy among Incoming Medical Students"</b>
DOI: 10.6084/m9.figshare.6086519.v1
title: Data set - Incoming medical students - IRI - 3 situations.xlsx

description: Dataset associated to the short communication untitled: <b>"The Intergroup Bias of Empathy among Incoming Medical Students"</b>
DOI: 10.6084/m9.figshare.6086474
title: Lab study: Data from paper "Continuous Identification in Smart Environments Using Wrist-Worn Inertial Sensors"

description: Dataset for the lab study, part of the paper "Continuous Identification in Smart Environments Using Wrist-Worn Inertial Sensors". Data from 7 participants performing 4 home-like prearranged activities. For each participants data collection took place during three sessions of approximately 10 minutes each.
DOI: 10.6084/m9.figshare.6086474.v1
title: Lab study: Data from paper "Continuous Identification in Smart Environments Using Wrist-Worn Inertial Sensors"

description: Dataset for the lab study, part of the paper "Continuous Identification in Smart Environments Using Wrist-Worn Inertial Sensors". Data from 7 participants performing 4 home-like prearranged activities. For each participants data collection took place during three sessions of approximately 10 minutes each.
DOI: 10.6084/m9.figshare.6086408
title: DDR1 and DDR2 physical interaction leads to signaling interconnection but with possible distinct functions

description: Discoidin domain receptors 1 and 2 (DDR1 and DDR2) are members of the tyrosine kinase receptors activated after binding with collagen. DDRs are implicated in numerous physiological and pathological functions such as proliferation, adhesion and migration. Little is known about the expression of the two receptors in normal and cancer cells and most of studies focus only on one receptor. Western blot analysis of DDR1 and DDR2 expression in different tumor cell lines shows an absence of high co-expression of the two receptors suggesting a deleterious effect of their presence at high amount. To study the consequences of high DDR1 and DDR2 co-expression in cells, we over-express the two receptors in HEK 293T cells and compare biological effects to HEK cells over-expressing DDR1 or DDR2. To distinguish between the intracellular dependent and independent activities of the two receptors we over-express an intracellular truncated dominant-negative DDR1 or DDR2 protein (DDR1DN and DDR2DN). No major differences of Erk or Jak2 activation are found after collagen I stimulation, nevertheless Erk activation is higher in cells co-expressing DDR1 and DDR2. DDR1 increases cell proliferation but co-expression of DDR1 and DDR2 is inhibitory. DDR1 but not DDR2 is implicated in cell adhesion to a collagen I matrix. DDR1, and DDR1 and DDR2 co-expression inhibit cell migration. Moreover a DDR1/DDR2 physical interaction is found by co-immunoprecipitation assays. Taken together, our results show a deleterious effect of high co-expression of DDR1 and DDR2 and a physical interaction between the two receptors.
DOI: 10.6084/m9.figshare.6086408.v1
title: DDR1 and DDR2 physical interaction leads to signaling interconnection but with possible distinct functions

description: Discoidin domain receptors 1 and 2 (DDR1 and DDR2) are members of the tyrosine kinase receptors activated after binding with collagen. DDRs are implicated in numerous physiological and pathological functions such as proliferation, adhesion and migration. Little is known about the expression of the two receptors in normal and cancer cells and most of studies focus only on one receptor. Western blot analysis of DDR1 and DDR2 expression in different tumor cell lines shows an absence of high co-expression of the two receptors suggesting a deleterious effect of their presence at high amount. To study the consequences of high DDR1 and DDR2 co-expression in cells, we over-express the two receptors in HEK 293T cells and compare biological effects to HEK cells over-expressing DDR1 or DDR2. To distinguish between the intracellular dependent and independent activities of the two receptors we over-express an intracellular truncated dominant-negative DDR1 or DDR2 protein (DDR1DN and DDR2DN). No major differences of Erk or Jak2 activation are found after collagen I stimulation, nevertheless Erk activation is higher in cells co-expressing DDR1 and DDR2. DDR1 increases cell proliferation but co-expression of DDR1 and DDR2 is inhibitory. DDR1 but not DDR2 is implicated in cell adhesion to a collagen I matrix. DDR1, and DDR1 and DDR2 co-expression inhibit cell migration. Moreover a DDR1/DDR2 physical interaction is found by co-immunoprecipitation assays. Taken together, our results show a deleterious effect of high co-expression of DDR1 and DDR2 and a physical interaction between the two receptors.
DOI: 10.6084/m9.figshare.6086396
title: Supplementary Material for: Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer’s Disease Tests: A Multivariate and Machine Learning Study

description: <b><i>Background:</i></b> The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) developed a neuropsychological battery (CERAD-NP) to screen patients with Alzheimer’s dementia. Mild cognitive impairment (MCI) has received attention as a pre-dementia stage. <b><i>Objectives:</i></b> To delineate the CERAD-NP features of MCI and their clinical utility to externally validate MCI diagnosis. <b><i>Methods:</i></b> The study included 60 patients with MCI, diagnosed using the Clinical Dementia Rating, and 63 normal controls. Data were analysed employing receiver operating characteristic analysis, Linear Support Vector Machine, Random Forest, Adaptive Boosting, Neural Network models, and t-distributed stochastic neighbour embedding (t-SNE). <b><i>Results:</i></b> MCI patients were best discriminated from normal controls using a combination of Wordlist Recall, Wordlist Memory, and Verbal Fluency Test. Machine learning showed that the CERAD features learned from MCI patients and controls were not strongly predictive of the diagnosis (maximal cross-validation 77.2%), whilst t-SNE showed that there is a considerable overlap between MCI and controls. <b><i>Conclusions:</i></b> The most important features of the CERAD-NP differentiating MCI from normal controls indicate impairments in episodic and semantic memory and recall. While these features significantly discriminate MCI patients from normal controls, the tests are not predictive of MCI.
DOI: 10.6084/m9.figshare.6086396.v1
title: Supplementary Material for: Characteristics of Mild Cognitive Impairment Using the Thai Version of the Consortium to Establish a Registry for Alzheimer’s Disease Tests: A Multivariate and Machine Learning Study

description: <b><i>Background:</i></b> The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) developed a neuropsychological battery (CERAD-NP) to screen patients with Alzheimer’s dementia. Mild cognitive impairment (MCI) has received attention as a pre-dementia stage. <b><i>Objectives:</i></b> To delineate the CERAD-NP features of MCI and their clinical utility to externally validate MCI diagnosis. <b><i>Methods:</i></b> The study included 60 patients with MCI, diagnosed using the Clinical Dementia Rating, and 63 normal controls. Data were analysed employing receiver operating characteristic analysis, Linear Support Vector Machine, Random Forest, Adaptive Boosting, Neural Network models, and t-distributed stochastic neighbour embedding (t-SNE). <b><i>Results:</i></b> MCI patients were best discriminated from normal controls using a combination of Wordlist Recall, Wordlist Memory, and Verbal Fluency Test. Machine learning showed that the CERAD features learned from MCI patients and controls were not strongly predictive of the diagnosis (maximal cross-validation 77.2%), whilst t-SNE showed that there is a considerable overlap between MCI and controls. <b><i>Conclusions:</i></b> The most important features of the CERAD-NP differentiating MCI from normal controls indicate impairments in episodic and semantic memory and recall. While these features significantly discriminate MCI patients from normal controls, the tests are not predictive of MCI.