cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/gq2v-8k24
title: Dataset for Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering

description: Controlling the quality of tertiary structures computed for a protein molecule remains a central challenge in de-novo protein structure prediction. The rule of thumb is to generate as many structures as can be afforded, effectively acknowledging that having more structures increases the likelihood that some will reside near the sought biologically-active structure. A major drawback with this approach is that computing a large number of structures imposes time and space costs. This dataset is associated with our paper, "Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering", where we propose a novel clustering-based approach which we demonstrate to significantly reduce an ensemble of generated structures without sacrificing quality. This dataset provides the biologically-active structures of the protein targets used for evaluation, necessary data (sequence, fragment files) for generating structure ensembles, generated ensembles, reduced ensembles, and data necessary for generating and plotting the results in the paper. The paper is under review and we will update the link to the paper once it is published. The codes associated with this dataset can be found in, https://github.com/ahmed0804/ReducedDecoyPool
DOI: 10.21227/pp8z-c106
title: Dataset for Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering

description: Controlling the quality of tertiary structures computed for a protein molecule remains a central challenge in de-novo protein structure prediction. The rule of thumb is to generate as many structures as can be afforded, effectively acknowledging that having more structures increases the likelihood that some will reside near the sought biologically-active structure. A major drawback with this approach is that computing a large number of structures imposes time and space costs. This dataset is associated with our paper, "Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering", where we propose a novel clustering-based approach which we demonstrate to significantly reduce an ensemble of generated structures without sacrificing quality. This dataset provides the biologically-active structures of the protein targets used for evaluation, necessary data (sequence, fragment files) for generating structure ensembles, generated ensembles, reduced ensembles, and data necessary for generating and plotting the results in the paper. The paper is under review and we will update the link to the paper once it is published. The codes associated with this dataset can be found in, https://github.com/ahmed0804/ReducedDecoyPool
DOI: 10.21227/r971-h216
title: Dataset for Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering

description: Controlling the quality of tertiary structures computed for a protein molecule remains a central challenge in de-novo protein structure prediction. The rule of thumb is to generate as many structures as can be afforded, effectively acknowledging that having more structures increases the likelihood that some will reside near the sought biologically-active structure. A major drawback with this approach is that computing a large number of structures imposes time and space costs. This dataset is associated with our paper, "Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering", where we propose a novel clustering-based approach which we demonstrate to significantly reduce an ensemble of generated structures without sacrificing quality. This dataset provides the biologically-active structures of the protein targets used for evaluation, necessary data (sequence, fragment files) for generating structure ensembles, generated ensembles, reduced ensembles, and data necessary for generating and plotting the results in the paper. The paper is under review and we will update the link to the paper once it is published. The codes associated with this dataset can be found in, https://github.com/ahmed0804/ReducedDecoyPool
DOI: 10.21227/x4ma-ne27
title: Dataset for Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering

description: Controlling the quality of tertiary structures computed for a protein molecule remains a central challenge in de-novo protein structure prediction. The rule of thumb is to generate as many structures as can be afforded, effectively acknowledging that having more structures increases the likelihood that some will reside near the sought biologically-active structure. A major drawback with this approach is that computing a large number of structures imposes time and space costs. This dataset is associated with our paper, "Reducing Ensembles of Protein Tertiary Structures Generated De Novo via Clustering", where we propose a novel clustering-based approach which we demonstrate to significantly reduce an ensemble of generated structures without sacrificing quality. This dataset provides the biologically-active structures of the protein targets used for evaluation, necessary data (sequence, fragment files) for generating structure ensembles, generated ensembles, reduced ensembles, and data necessary for generating and plotting the results in the paper. The paper is under review and we will update the link to the paper once it is published. The codes associated with this dataset can be found in, https://github.com/ahmed0804/ReducedDecoyPool
DOI: 10.7910/dvn/dsnajz/gtax7q
title: 4C Analysis Coding Manual V11 1.7.19.pdf

description: V11 of coding manual
DOI: 10.17632/34hhvn8szb.1
title: Raw data Anvar

description: Raw data of research
DOI: 10.17632/srrgm5dmcx.1
title: Data for: Influence of polysorbates (Tweens) on structural and antimicrobial properties for microemulsions

description: Dataset for the manuscript " Influence of polysorbates (Tweens) on structural and antimicrobial properties for microemulsions". The dataset contains a series of .opju and .ai files corresponding to the plots, table and illustrations in upload files. There is also presents a .pdb file which shows the configuration of epsilon-polylysine.
DOI: 10.17632/srrgm5dmcx.2
title: Data for: Influence of polysorbates (Tweens) on structural and antimicrobial properties for microemulsions

description: Dataset for the manuscript " Influence of polysorbates (Tweens) on structural and antimicrobial properties for microemulsions". The dataset contains a series of .opju and .ai files corresponding to the plots, table and illustrations in upload files.
DOI: 10.21227/f5j4-a820
title: Terrain Identification for Humanoid Robots

description: Stable and efficient walking strategies for humanoid robots usually relies on assumptions regarding terrain characteristics. If the robot is able to classify the ground type at the footstep moment, it is possible to take preventive actions to avoid falls and to reduce energy consumption. This dataset contains raw data from 10 inertial and torque sensors of a humanoid robot, sampled after the impact between foot and ground. There are two types of data: simulated using gazebo and data from a real robot.
DOI: 10.17632/5p8krmxx74.1
title: Performance and microbial community structure of a full-scale ANITATMMox bioreactor located in Finland

description: Massive parallel sequecing of bacterial, archaeal and fungal community
DOI: 10.17632/h2pjwzbk8j.1
title: Supplemental Fig 1 for "Persistent expression of IL-17 and downstream cytokines after ustekinumab treatment in patients with psoriasis"

description: Background : The interleukin (IL)-23/T helper (Th)17 axis is considered central to the pathogenesis of psoriasis, with IL-36γ considered a marker for histological differential diagnosis. However, expression data regarding key cytokines in the pathogenesis of psoriasis, as well as data on the effects of IL-23 inhibition on downstream cytokines in human psoriatic skin, are limited. Object : The purpose of this study was to identify the expression profile of cytokines in psoriasis and evaluate the effect of ustekinumab on cytokine expression in a human psoriasis tissue. Methods : We investigated the expression profile of key cytokines and the effect of ustekinumab on cytokine expression in human psoriatic tissue. Results : Tumor necrosis factor (TNF)-α, IL-23, IL-17A, and IL-22 were highly expressed in the epidermis, dermal papillae, and upper dermis in patients with psoriasis than in controls; IL-36γ was strongly expressed in the upper epidermis. Compared with the untreated group, expression intensity and area of IL-23 were significantly decreased in the ustekinumab group; expression areas of TNF-α, IL-17A, IL-22, and IL-36γ did not differ. Conclusion : This study identified the distribution and quantitative expression levels of key cytokines in psoriatic lesions and demonstrated that ustekinumab improves psoriasis by downregulating IL-23 without blocking downstream cytokines. Our results suggest that, although IL-23 is inhibited, the persistent expression of IL-17 through an alternative pathway maintains the vicious cycle of TNF-α/IL-23/IL-17 axis with IL-36γ, inducing refractory psoriatic lesions in patients with well-controlled psoriasis.
DOI: 10.17632/h2pjwzbk8j.2
title: Supplemental Fig 1 for "Persistent expression of IL-17 and downstream cytokines after ustekinumab treatment in patients with psoriasis"

description: Background : The interleukin (IL)-23/T helper (Th)17 axis is considered central to the pathogenesis of psoriasis. However, expression data regarding key cytokines in the pathogenesis of psoriasis, as well as data on the effects of IL-23 inhibition on downstream cytokines in human psoriatic skin, are limited. Object : The purpose of this study was to evaluate the effect of ustekinumab on cytokine expression in a human psoriasis tissue. Methods : We investigated the expression profile of key cytokines and the effect of ustekinumab on cytokine expression in human psoriatic tissue. Results : Tumor necrosis factor (TNF)-α, IL-23, IL-17A, and IL-22 were highly expressed in the epidermis and upper dermis in patients with psoriasis; IL-36γ was strongly expressed in the upper epidermis. Expression intensity and area of IL-23 were significantly decreased in the ustekinumab treated group; expression areas of TNF-α, IL-17A, IL-22, and IL-36γ did not differ. Limitation : Conclusion : This study identified that ustekinumab improves psoriasis by downregulating IL-23 without blocking downstream cytokines. Our results suggest that, although IL-23 is inhibited, the persistent expression of IL-17 through an alternative pathway maintains the vicious cycle of TNF-α/IL-23/IL-17 axis with IL-36γ, inducing refractory psoriatic lesions in patients with well-controlled psoriasis.
DOI: 10.17632/hd8crkt9bn.2
title: Determinacy and Classification of Markov-Switching Rational Expectations Models: A Technical Guide

description: This is a technical guide for the MOD (minimum of modulus) method proposed by Cho (2020), entitled " Determinacy and Classification of Markov-switching Rational Expectations Models", in the class of general Linear rational expectations (LRE) models and Markov-switching rational expectations (MSRE) models. This package provides a compact summary of the paper and illustrates how to implement the methodology. Current versions of the codes accompanying this technical guide and the numerical examples including the ones in the paper can be found at https://sites.google.com/site/sc719en. This technical guide and the matlab codes will be updated in the future.
DOI: 10.21227/edzj-t963
title: Authcode - Dataset

description: Intending to cover the existing gap regarding behavioral datasets modelling interactions of users with individual a multiple devices in Smart Office to later authenticate them continuously, we publish the following collection of datasets, which has been generated after having five users interacting for 60 days with their personal computer and mobile devices. Below you can find a brief description of each dataset.Dataset 1 (2.3 GB). This dataset contains 92975 vectors of features (8096 per vector) that model the interactions of the five users with their personal computers. Each vector contains aggregated data about keyboard and mouse activity, as well as application usage statistics. More info about features meaning can be found in the readme file. Originally, the number of features of this dataset was 24 065 but after filtering the constant features, this number was reduced to 8096. There was a high number of constant features to 0 since each possible digraph (two keys combination) was considered when collecting the data. However, there are many unusual digraphs that the users never introduced in their computers, so these features were deleted in the uploaded dataset.Dataset 2 (8.9 MB). This dataset contains 61918 vectors of features (15 per vector)that model the interactions of the five users with their mobile devices. Each vector contains aggregated data about application usage statistics. More info about features meaning can be found in the readme file.Dataset 3 (28.9 MB). This dataset contains 133590vectors of features (42 per vector)that model the interactions of the five users with their mobile devices. Each vector contains aggregated data about the gyroscope and Accelerometer sensors.More info about features meaning can be found in the readme file.Dataset 4 (162.4 MB). This dataset contains 145465vectors of features (241 per vector)that model the interactions of the five users with both personal computers and mobile devices. Each vector contains the aggregation of the most relevant features of both devices. More info about features meaning can be found in the readme file.Dataset 5 (878.7 KB). This dataset is composed of 7 datasets. Each one of them contains an aggregation of feature vectors generated from the active/inactive intervals of personal computers and mobile devices by considering different time windows ranging from 1h to 24h.1h: 4074 vectors2h: 2149 vectors3h: 1470 vectors4h: 1133 vectors6h: 770 vectors12h: 440 vectors24h: 229 vectors
DOI: 10.21227/rmk3-we20
title: 140-220 GHz corrugated horn D-plane radiation pattern measurement

description: The NSI-MI measurement setup of the 140-220 GHz corrugated horn D-plane radiation pattern. It is a short movie.
DOI: 10.21227/wc41-a308
title: 140-220 GHz corrugated horn D-plane radiation pattern measurement

description: The NSI-MI measurement setup of the 140-220 GHz corrugated horn D-plane radiation pattern. It is a short movie.
DOI: 10.17632/8h9fjpxr9h.1
title: Assistant professor

description: RELEVANCE OF THE 2018 TOKYO GUIDELINES FOR THE DIAGNOSIS AND MANAGEMENT OF ACUTE CHOLECYSTITIS
DOI: 10.17632/8hbx8vtwrk.1
title: Delphi Study - Trans-Tasman Midwifery Education Priorities

description: Delphi Study looking at Midwifery Education Priorities for Australia and New Zealand
DOI: 10.17632/pr8bgkj3c3.1
title: TASIM: Tagged Structures in Mozambique

description: TASIM (Tagged Structures in Mozambique) is a dataset with tags assigned to all structures based on aerial images. The data sets has 107507 tagged structures in seven categories (house colored roof, house grey roof, house palm roof, non-residential structure, small non-residential structure, structure under construction, apartment). The data cover the entire city of Tete but also include tags from smaller areas in the Mozambique cities Maputo, Beira, Nampula and Quelimane. Each structure’s location and type was tagged by Cloud Factory in Google Earth in September 2016. Subsequently, an image of the location for each structure’s location was downloaded using Google Maps API in November, 2018. The time gap was due to a gap in funding. The use of the images from Google Earth and Google Maps must respect the corresponding terms of use. All images and their associated annotations in TASIM can be used for academic purposes only, but any commercial use is prohibited. The data has been used as part of the paper XX, where is used to train a CNN model prediction structure density and quality. During this work It was noted that the accuracy of the tags re less than ideal. Data files: 1) TASIM.cvs. File includes the variables HH_ID (for merge with images), latitude and longitude, and category. 2) TASIM_Structures.zip. File include images around the location for all tagged structures in 400x400 resolution.
DOI: 10.17632/x9fndtgn49.1
title: Petrological and geochemical data for the Jiding ophiolite in southern Tibet

description: Supplementary Tables Table S1 Whole-rock major element compositions (wt.%) of the mafic rocks from the Jiding sections, Xigaze ophiolite. Table S2 Whole rock trace element compositions (ppm) of the Jiding P-P’ lower crustal gabbros, Xigaze ophiolite. Table S3 Clinopyroxene, plagioclase and ilmenite major element compositions (wt.%) of the Jiding lower crustal diabases, Xigaze ophiolite. Table S4 Amphibole major element compositions (wt.%) of the Jiding lower crustal diabases, Xigaze ophiolite. Table S5 Whole rock and amphibole oxygen and hydrogen isotopic compositions of the diabases and gabbros from the Jiding P-P’ lower crustal section. Table S6 A compilation of whole-rock major element compositions (wt.%) of the diabases and basalts from the gabbro-poor massifs of the Xigaze ophiolite. Table S7 A global compilation of oxygen and hydrogen isotopic compositions of oceanic crusts and mantle.
DOI: 10.21227/1s3y-9e64
title: NREL 30-Second ASI Timeseries April 4-21, 2019

description: All Sky Imagers or Total Sky Imagers (ASIs or TSIs) have substantial promise as scalable sensors for solar resource estimation and forecasting. ASI images are high-resolution fisheye images containing large amounts of sky content. This dataset contains ASI images taken at a 30-second time resolution, over a period of 17 days during April 2019 using an all-sky imager model ASI-16 by EKO Instrument. These images were used to test an automated clear sky image selection algorithm, however they can be used for a variety of other purposes including cloud position forecasting or solar irradiance estimation.
DOI: 10.25345/c52h7z
title: MassIVE MSV000085305 - Phosphorylated Tau Interactome in the Human Alzheimers Disease Brain
title: Accumulation of phosphorylated tau is a key pathological feature of Alzheimers disease. Phosphorylated tau accumulation causes synaptic impairment, neuronal dysfunction and formation of neurofibrillary tangles. The pathological actions of phosphorylated tau are mediated by surrounding neuronal proteins, however a comprehensive understanding of the proteins that phosphorylated tau interacts with in Alzheimers disease is surprisingly limited. Therefore, the aim of this study was to determine the phosphorylated tau interactome for the first time. To do this we used two complementary proteomics approaches: First, quantitative proteomics was performed on neurofibrillary tangles microdissected from patients with advanced Alzheimers disease. Second, affinity purification-mass spectrometry was used to identify which of these proteins specifically bound to phosphorylated tau.
DOI: 10.5281/zenodo.3756180
title: SCRUM framework adaptations - dataset of systematic mapping study

description: Dataset from the SCRUM framework adaptations systematic mapping study
description: Funded by: CAPES-Brazil (finance code 001) and FAPESP-Brazil
DOI: 10.17632/x9fndtgn49.2
title: Petrological and geochemical data for the Jiding ophiolite in southern Tibet

description: Supplementary Tables Table S1 Whole-rock major element compositions (wt.%) of the mafic rocks from the Jiding sections, Xigaze ophiolite. Table S2 Whole rock trace element compositions (ppm) of the Jiding P-P’ lower crustal gabbros, Xigaze ophiolite. Table S3 Clinopyroxene, plagioclase and ilmenite major element compositions (wt.%) of the Jiding lower crustal diabases, Xigaze ophiolite. Table S4 Amphibole major element compositions (wt.%) of the Jiding lower crustal diabases, Xigaze ophiolite. Table S5 Whole rock and amphibole oxygen and hydrogen isotopic compositions of the diabases and gabbros from the Jiding P-P’ lower crustal section. Table S6 A compilation of whole-rock major element compositions (wt.%) of the diabases and basalts from the gabbro-poor massifs of the Xigaze ophiolite. Table S7 A global compilation of oxygen and hydrogen isotopic compositions of oceanic crusts and mantle.
DOI: 10.17632/ymsrvpg4rh.1
title: Effects of Deep Soft Tissue Manipulation in Low Back Pain Patients

description: HYPOTHESIS: It was hypothesized that there would be decrease in pain during various functional activities and increase in lumbar spine range of motion after giving deep soft tissue manipulation over parascapular and paraspinal muscle in subjects with low back pain (LBP) in one group and disease specific treatment to another group. It was also hypothesized that deep soft tissue manipulation over parascapular and paraspinal muscle would be more effective than disease specific treatment. NULL HYPOTHESIS: There will be no effect of deep soft tissue manipulation in subjects with low back pain. TYPE OF STUDY: Experimental study RESEARCH DESIGN: The Pre-Test, Post-Test Control Group Study Design which is experimental in nature. RESEARCH SETTING: The study was conducted at the musculoskeletal unit of physiotherapy department, SVNIRTAR, Olatpur, Cuttack. SAMPLE AND SAMPLING TECHNIQUES:  Randomized sampling with random assignment to subgroup was done.  Total sample consist of 84 subjects (52 males and 32 females) age range (25 - 50) year with mean age was (40.16 ± 1.11), with Low Back Pain. INCLUSION CRITERIA:  Subjects having LBP with or without radiation for more than 3 months.  Stretching of parascapular muscles reproduce/aggravate the original symptom.  The age between 25 - 50 years in both the sex. EXCLUSION CRITERIA:  Age above 50  LBP due to tumour  LBP due to spondylolysis, spondylolisthesis  Osteoporosis  Previous back surgery  Known Rheumatic, neurological, or mental disease  Fracture  Any contraindication to manual therapy OUTCOME MEASURES: Modified Schober's Test for lumbar spine range of motion and Visual Analogue Scale to quantify pain during various functional activities (lying, sitting, standing, walking, travelling). PROCEDURE: 84 subjects both males and females (52 males and 32 females), were evaluated with the mean age of (40.16 ± 1.11) years and average duration of low back pain (17.70 ± 2.71) months, based on the fulfillment of the inclusion and exclusion criteria through an informed consent and assessment performa. The subjects were randomly assigned into 2 groups i.e. Group 1: Conventional group and Group 2: Experimental group. Before initiating the treatment, subjects were assessed for baseline values of all the dependent variables i.e. lumbar spine range of motion measured by Modified Schober’s Test and Pain during various Functional activities i.e. lying, sitting, standing, walking, travelling measured by Visual Analogue Scale. INTERVENTION:  Conventional: 42 subjects (28 males and 14 females) with mean age of 39.78 ± 1.16 received disease specific treatment.  Experimental: 42 subjects (24 males and 18 females) with mean age of 40.54 ± 1.07 received deep soft tissue manipulation of parascapular and paraspinal muscles. All the patient were taught and encouraged to do home exercise program. At the end of 2 weeks and 4 weeks of intervention post measurement for all dependent variables were taken again.
DOI: 10.21227/5d44-tr95
title: NREL 30-Second ASI Timeseries April 4-21, 2019

description: All Sky Imagers or Total Sky Imagers (ASIs or TSIs) have substantial promise as scalable sensors for solar resource estimation and forecasting. ASI images are high-resolution fisheye images containing large amounts of sky content. This dataset contains ASI images taken at a 30-second time resolution, over a period of 17 days during April 2019 using an all-sky imager model ASI-16 by EKO Instrument. These images were used to test an automated clear sky image selection algorithm, however they can be used for a variety of other purposes including cloud position forecasting or solar irradiance estimation.