cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7jrjn8cwv9.1
title: Effect of sacroilliac joint manipulation on hip joint range of motion and muscle strength in normal healthy individuals

description: ABSTRACT Study Design: A double blinded, (Two group pre-test – post-test non randomized controlled trial). Purpose: To investigate the impact of sacroiliac joint (SIJ) manipulation on hip joint ranges of motion and muscle strength. Background: SIJ is fundamentally linked with lumbar spine and hip joint through thoracolumbar fascia and considered any dysfunction of the one component would affect the kinetic chain of lumbopelvic rhythm. The kinetic chain between lumbopelvic and hip complex coordinate during functional movement of hip joint. SIJ Manipulation stretches the shortened and thickened periarticular soft tissues which usually effect on the range of motion (ROM), improve the fluid drainage with in and around the joints, decrease the oedema and reduced the muscle spasm. The mechanical effect of the manipulation may restore bio mechanical stability to the involved motion segments by increasing strength and range of motion. There is lack of literature available that has evaluated the effect of sacroiliac joint manipulation on hip ranges of motion and muscle strength (MS). Methods and materials: A total of 50 asymptomatic subjects were recruited on the basis of selection criteria. Pre intervention assessment (Range of motion) was measured by universal goniometer and muscle strength was measured by baseline handheld dynamometer. On the same day after the intervention, post intervention assessment was noted. Results: Descriptive data was analyzed by using normality test. Paired t test was used to analyse within group comparison and Independent t- test was used to analyse between group comparisons. Within group comparison paired t test was applied at 95% of confident interval, that showed a statistically significant improvement in the range of motion (extension, external rotation, internal rotation) with p&lt;0.05 for range of motion in both group. Muscle strength in both groups was also comparison, the statistically significant improvements in the all muscle strength (Flexors, extensors, abductors, adductors, internal rotators, and external rotators). For between group comparison Independent t test was applied at 95% of confident interval, that showed a statistically significant improvement in the range of motion (internal rotation) with p&lt;0.05 for range of motion in both group comparison. Muscle strength in between group comparison, which was shown a statistically significant improvement in the muscle strength (adductors, external rotators, internal rotators). Conclusions: The study concluded that there was significance relation of sacroiliac joint manipulation with hip joint range of motion and muscle strength. We conclude that a single manipulation of the SIJ of students statistically improved the hip internal rotation range of motion and adductors, internal rotators, external rotators muscle strength. Keywords: Muscle strength, Range of motion, Sacroiliac joint, Hip joint, Manipulation
DOI: 10.17632/8b8ygpt596.4
title: COVID-19 full DB official Russian Data by Regions 2020

description: This DB based on all available reports by the Communicational center of Government of the Russian Federation. Official Russian COVID-19 data published daily by the Government of Russia (on the Russian language) in the form of raw data is a daily updated report in a pdf form. Each piece has daily updates. We are providing a working link on every cell of data in the dataset. This DB is an attempt to manually collect critical variables from the report into a machine-readable format. These datasets are ready to be used for analysis and modeling. Variables: location; date; new cases [diagnosed]; cases [cumulative]; recovered [new]; recovered [cumulative]; deaths [new]; deaths [cumulative]; tests [new tests administered]; tests [cumulative]; test_positive [cumulative]; hospitalization [cumulative]; icu [cumulative or population]; on_invasive_ventilators [cumulative or population]; test_negative [cumulative]; hospital beds; web links. All Data divided by date (time) and regions (Oblast) of the Russian Federation.
DOI: 10.17632/nfkkdz45rt.4
title: Dataset for Localization and Estimation of Bending and Twisting Loads from Depth Images

description: This dataset is used in the following article published in MDPI Sensors journal: Realtime Localization and Estimation of Loads on Aircraft Wings from Depth Images
DOI: 10.17632/6sydv2x8st.1
title: Declarative knowledge Virtual Reality

description: The data set includes the analysis of a virtual reality group and a multimedia group comparing declarative knowledge, emotions, and presence in a pretest. postest setting.
DOI: 10.17632/z9xjcmg6s2.2
title: 2019 CA earthquake words dictionaries and time-series labeled data

description: The dataset consists of two files related to the 2019 CA earthquake, including the dictionaries of words to clean the data and our time-series labels for damage level. Twitter Standard Search API was utilized with key search terms “earthquake” to search against related tweets from 07/04/2019 to 07/10/2019 (UTC). The original data were stored in JavaScript Object Notation (.json) files, which were converted to Excel (.xlsx) files for subsequent processing. The first data file contains three dictionaries of words, including the locations to filter out tweets not related to California earthquake, the damage-related terms to filter in damage-related tweets, and words to filter out the tweets not implying real physical damage. It also contains descriptive words with respects to each of four identified damage levels. This dataset provides a clue for building word dictionaries to clean the dataset for the study of text-based damage assessment for disaster events. The second data file contains 20,708 records labeled by our model. Due to the Twitter Developer Policy, https://developer.twitter.com/en/developer-terms/agreement-and-policy#id34, user information (screen name, verified, descriptions, user-input location, favorites, and followers, etc.) or messages are not allowed to distribute. We attach this file for the sole purpose of validation of our research results on the temporal dimension.
DOI: 10.17632/z9xjcmg6s2.1
title: 2019 CA earthquake words dictionaries and time-series labeled data

description: The dataset consists of two files related to the 2019 CA earthquake, including the dictionaries of words to clean the data and the time-series labels for damage level. Twitter Standard Search API was utilized with key search terms “earthquake” to search against related tweets from 07/04/2019 to 07/10/2019 (UTC). The original data were stored in JavaScript Object Notation (.json) files, which were converted to Excel (.xlsx) files for subsequent processing. The first data file contains three dictionaries of words, including the locations to filter out tweets related to California earthquake, the damage-related terms to filter in damage-related tweets, and words to filter out the tweets not implying real physical damage. It also contains descriptive words with respects to each of four identified damage levels. This dataset provides a clue for building word dictionaries to clean the dataset for the study of text-based damage assessment for disaster events. The second data file contains 20,708 records labeled by our model. Due to the Twitter Developer Policy, https://developer.twitter.com/en/developer-terms/agreement-and-policy#id34, user information (screen name, verified, descriptions, user-input location, favorites, and followers, etc.) or messages are not allowed to distribute. We attach this file for the sole purpose of validation of our research results on the temporal dimension.
DOI: 10.17632/w99dh6rymx.1
title: RNF126-mediated reubiquitination is required for proteasomal degradation of p97-extracted membrane proteins. Hu et al

description: Valosin-containing protein (VCP)/p97 is an AAA-ATPase that extracts poly-ubiquitinated substrates from multimeric macromolecular complexes and biological membranes for proteasomal degradation. During p97-mediated extraction, the substrate is largely deubiquitinated as it is threaded through the p97 central pore. How p97-extracted substrates are targeted to the proteasome with few or no ubiquitins is unknown. Here, we report that p97-extracted membrane proteins undergo a second round of ubiquitination catalyzed by the cytosolic ubiquitin ligase RNF126. RNF126 interacts with transmembrane domain-specific chaperone BAG6, which captures p97-liberated substrates. RNF126 depletion in cells diminishes the ubiquitination of extracted membrane proteins, slows down their turnover, and dramatically stabilizes otherwise transient intermediates in the cytosol. We reconstitute the reubiquitination of a p97-extracted, misfolded multi-spanning membrane protein with purified factors. Our results demonstrate that p97-extracted substrates need to rapidly engage ubiquitin ligase/chaperone pairs that rebuild the ubiquitin signal for proteasome targeting to prevent harmful accumulation of unfolded intermediates.
DOI: 10.17632/dnw2262chw.1
title: Effects of short- and long-term high-fat diet on N-glycome of mouse adipocytes and macrophages
DOI: 10.17632/mhgnyzjn9j.1
title: MCC KIT manuscript uncropped images

description: MCC KIT manuscript uncropped images
DOI: 10.17632/spyw8ppd6z.1
title: Differentiation of SH-SY5Y neuronal cells with All-trans-retinoic acid- First Report of 90 days survival of differentiated neuronal cells

description: A reliable in vitro system that mimics the neuronal function in the brain is a vital aspect of neurobiology research, and it is the key to successful drug discovery. Neuroblastoma SH-SY5Y cells are commonly used to provide an in vitro model of the neurons.[1,2] SH-SY5Y cells can be differentiated to neurons using different chemical and biochemical reagents.[1–5] Using all-trans-retinoic acid (ATRA), a metabolite of vitamin A, to promote the differentiation of neuroblastoma cells to neurons is a simple and cost-effective way but can not produce mature neurons and the differentiated neurons only survive for few days.[4-7] We developed a method that SH-SY5Y cells gradually differentiated to mature neurons using ATRA. The differentiated SH-SY5Y cells grew on a thin layer of extracellular matrix (ECM), which was secreted into the matrix by the cells. The ECM scaffold allowed the neurons to grow in all dimensions with long neurites, which mimicked the brain network. The neuronal 3D in vitro system was maintained for more than 90 days. To our best of knowledge, this is the first report of survival of the mature neurons for 90 days without passaging. The morphology of SH-SY5Y cells during the differentiation process was monitored by phase-contrast microscopy images. The data provided here contained the detail of the method with the microscopy images that were taken during 100 days of the procedure. References: 1. Forster, J. I. et al. Characterization of differentiated SH-SY5Y as neuronal screening model reveals increased oxidative vulnerability. J. Biomol. Screen. 21, 496–509 (2016). 2. Lopes, F. M. et al. Comparison between proliferative and neuron-like SH-SY5Y cells as an in vitro model for Parkinson disease studies. Brain Res. 1337, 85–94 (2010). 3. Presgraves, S. P., Ahmed, T., Borwege, S. & Joyce, J. N. Terminally differentiated SH-SY5Y cells provide a model system for studying neuroprotective effects of dopamine agonists. Neurotox. Res. 5, 579–598 (2003). 4. Korecka, J. A. et al. Phenotypic Characterization of Retinoic Acid Differentiated SH-SY5Y Cells by Transcriptional Profiling. PLoS One 8, e63862 (2013). 5. Shipley, M. M., Mangold, C. A. & Szpara, M. L. Differentiation of the SH-SY5Y human neuroblastoma cell line. J. Vis. Exp. 108, e53193 (2016). 6. Påhlman, S., Ruusala, A. I., Abrahamsson, L., Mattsson, M. E. K. & Esscher, T. Retinoic acid-induced differentiation of cultured human neuroblastoma cells: a comparison with phorbolester-induced differentiation. Cell Differ. 14, 135–144 (1984). 7. Rohwedel, J., Guan, K. & Wobus, A. M. Induction of cellular differentiation by retinoic acid in vitro. Cells Tissues Organs 165, 190–202 (1999).
DOI: 10.17632/59xxv4n956.2
title: Analysis of type I and II error rates of parametric and nonparametric Bayesian two-sample tests under preliminary assessment of normality

description: Provides R replication scripts for the manuscript 'Analysis of type I and II error rates of Bayesian and frequentist parametric and nonparametric two-sample hypothesis tests under preliminary assessment of normality'
DOI: 10.17632/9ddm76jd36.1
title: A cross-sectional online survey on knowledge of Pediatric burn rehabilitation practices among physiotherapy students and professionals.

description: Materials and Methods: 144 respondents participated in the cross-sectional online survey. The survey was created using a Goggle forms (online survey services) which is a networked survey gateway. Social networking sites like WhatsApp, Facebook and Instagram were used as a medium to share a link. Questionnaire were validated by the expertise and circulated among the physiotherapy students and professionals. It consisted of 15 questions which were divided on the basis of five domains. Results: Among 144 respondents, 63 participants reported to have experience in treating children with burn injuries. 56.3% physiotherapy professionals and students are still unaware about physiotherapy practices of paediatric burn rehabilitation.43.8% have given the positive responses about knowledge of pediatric burn rehabilitation.
DOI: 10.17632/26b8njvyc8.3
title: Complementary material: Data sets of predicted stable and meta-stable crystalline phase structural of Nb-N system under pressure

description: These files correspond to the convex hull information, individuals, input files and codes, obtained and created to analyze the stable and meta-stable crystalline phases of the Nb-N system at various pressures.
DOI: 10.17632/2r9ggkhkpm.1
title: Data for: Therapy based on avatar-therapist synergy for patients with chronic auditory hallucinations: A pilot study

description: PSYRATS and VPDS results for 23 patients taking part in the study on avatar-therapist synergy-based therapy for patients with chronic auditory hallucinations.
DOI: 10.17632/zh6bw88xhc.2
title: International Collaboration and Rapid Harmonization across Dermatologic COVID-19 Registries: Supplemental Appendix

description: Supplemental Appendix for "International Collaboration and Rapid Harmonization across Dermatologic COVID-19 Registries"
DOI: 10.17632/hy2rz3k83y.3
title: Geology, geochemistry and Sr-Nd isotopes of the Rio Branco Suite, Nova Brasilândia belt in southwest of the Amazonian Craton: Evidence of a Rodinia pre-assembly accretionary phase (ca. 1137 and 1106 Ma) during the evolution of the Nova Brasilândia orogeny
DOI: 10.6084/m9.figshare.3761562.v1524
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.21227/k3se-ds51
title: GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information

description: Abstract:The past several years have witnessed a huge surge in the use of social media platforms during mass convergence events such as health emergencies, natural or human-induced disasters. These non-traditional data sources are becoming vital for disease forecasts and surveillance when preparing for epidemic and pandemic outbreaks. We present GeoCoV19, a large-scale Twitter dataset containing more than 524 million multilingual tweets posted over a period of 90 days since February 1, 2020. Moreover, we employ a gazetteer-based approach to infer the geolocation of tweets. We postulate that this large-scale, multilingual, geolocated social media data can empower the research communities to evaluate how societies are collectively coping with this unprecedented global crisis as well as to develop computational methods to address challenges such as identifying fake news, understanding communities' knowledge gaps, building disease forecast and surveillance models, among others. Full paper: https://arxiv.org/abs/2005.11177
DOI: 10.5281/zenodo.3255311
title: T-REC Song Recognition Dataset

description: This csv file (tab delimited) contains the track names, artist(s), total number of responses, measured recognition (user study), computed recognition (T-REC) and measured recognition on specific demographics i.e. male, female and age groups 18-24, 25-34, 35-44, 45-54, 55-65 for 100 music tracks used in the paper "Data-driven song recognition estimation using collective memory dynamics models" accepted for publication in the ISMIR 2019 conference.
DOI: 10.5281/zenodo.3255310
title: T-REC Song Recognition Dataset

description: This csv file (tab delimited) contains the track names, artist(s), total number of responses, measured recognition (user study), computed recognition (T-REC) and measured recognition on specific demographics i.e. male, female and age groups 18-24, 25-34, 35-44, 45-54, 55-65 for 100 music tracks used in the paper "Data-driven song recognition estimation using collective memory dynamics models" accepted for publication in the ISMIR 2019 conference.
DOI: 10.17632/kcww6s8r7z.1
title: Data for: Cost of Austerity: Effect of Fiscal Consolidation in Europe Post 2010

description: Data for Rayl 2020
DOI: 10.25405/data.ncl.12476282
title: Input Data-Uncertainty Analysis of The Impact of Increasing Levels of Gas and Electricity Network Integration and Storage on TEE Performance

description: This excel file include the input data for the TEE evaluation framework, which is developed and presented in the paper 'Uncertainty Analysis of The Impact of Increasing Levels of Gas and Electricity Network Integration and Storage on Techno-Economic-Environmental Performance'.
DOI: 10.25405/data.ncl.12476282.v1
title: Input Data-Uncertainty Analysis of The Impact of Increasing Levels of Gas and Electricity Network Integration and Storage on TEE Performance

description: This excel file include the input data for the TEE evaluation framework, which is developed and presented in the paper 'Uncertainty Analysis of The Impact of Increasing Levels of Gas and Electricity Network Integration and Storage on Techno-Economic-Environmental Performance'.
DOI: 10.25540/n7w6-1n9y
title: FirmFinancial
DOI: 10.25540/zzfv-e73v
title: Analysis of the sweep of preschool staff for COVID-19 in May 2020, Singapore

description: This folder contains code and data to reimplement the analysis of the sweep of preschool staff for COVID-19 in May 2020, Singapore.
DOI: 10.5281/zenodo.3894279
title: Predictive models for the phase behaviour and solution properties of weak electrolytes: nitric, sulphuric and nitric acids

description: All computational data for figures presented in the publication.
DOI: 10.5281/zenodo.3894278
title: Predictive models for the phase behaviour and solution properties of weak electrolytes: nitric, sulphuric and nitric acids

description: All computational data for figures presented in the publication.
DOI: 10.5281/zenodo.3894317
title: Trialstreamer data

description: Trialstreamer annotated collection of RCTs. This respository contains baseline files (large), and subsequent updates (daily for PubMed, weekly for ICTRP).
DOI: 10.5281/zenodo.3890285
title: Geostatistical Analysis of SARS-CoV-2 in the United States

description: Geostatistics analyzes and predicts the values associated with spatial or spatio-temporal phenomena. It incorporates the spatial (and in some cases temporal) coordinates of the data within the analyses. It is a practical means of describing spatial patterns and interpolating values for locations where samples were not taken (and measures the uncertainty of those values, which is critical to informed decision making). This Zenodo archive consists of two archives consisting of geostatistical analyses of SARS-CoV-2 testing data: 1. "Louisiana-SARS-CoV-2-Geostatistical-Analysis.zip": Geostatistical analysis of SARS-CoV-2 cases across Louisiana in March and early April 2020. 2. "Entire-US-SARS-CoV-2-Geostatistical-Analysis.zip": Geostatistical analysis of SARS-CoV-2 cases across the entire U.S. during the month of May 2020, with additional analyses covering SARS-CoV-2 cases from March 24th to June 10th 2020. These archives consist of map files (as both static images and as animations) and data files (including text files which contain the underlying data of said map files [where applicable]) which were generated when performing the following Geostatistical analyses: Hot Spot analysis (Getis-Ord Gi*), Cluster and Outlier analysis (Anselin Local Moran's I), Kriging and Densification analysis (Louisiana only), and Spatial Autocorrelation (Global Moran's I; United States only). The Word document ("Description-of-Archive.Geostatistical-Analysis-of-SARS-CoV-2.docx") describes in detail the contents of each file and folder within these two archives.
DOI: 10.21227/jhd9-gg82
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).-------------------------------------------------------------------------Also: Coronavirus (COVID-19) Tweets Dataset (180+ Million English Language Tweets; ongoing collection)-------------------------------------------------------------------------Note: I started sharing the IDs of the tweets that had exact 'point' location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs shared in the Coronavirus (COVID-19) Tweets Dataset.If you need the geolocation-based data starting March 20, 2020, then use the Coronavirus (COVID-19) Tweets Dataset and hydrate the IDs while adding the following condition:data = json.loads(data)if data["coordinates"]: longitude, latitude = data["coordinates"]["coordinates"]The data is available in two formats: CSV and JSON. I'll be sharing new files every day, and the files will be named period-wise. For example, april28-june5.zip will contain tweet ID and sentiment score of the tweets (in CSV and JSON formats) that were created between April 28, 2020, and June 05, 2020.Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.