cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zd94rk758n.1
title: Special Needs prison Populations

description: The needs of special populations in prison systems are underserved specifically the elderly and mentally ill. This paper explores the disparities within these populations and what can be done to help diminish the gap in care being provided to them with examples from other prisons to use as a building block for better care
DOI: 10.21227/vxnz-rp76
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets were captured by an on-going project deployed at https://live.rlamsal.com.np. The geolocation data was extracted from the tweets which mentioned anything about “corona”, "coronavirus", "covid" and possible variants of "sarscov2", "nCov", "covid-19", "ncov2019". 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).Note: I started sharing the IDs of the tweets that contained the exact 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 (above 150+ million tweets) 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-april29.* will contain tweet ID and sentiment data of the tweets that were tweeted between April 28, 2020, and April 29, 2020.Why are only tweet IDs being shared? It is Twitter's content redistribution policy that restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers to always pull fresh data using their API. Why? Here's my opinion. Maybe, some user might want to delete a particular tweet after a couple of minute(s)/hour(s)/day(s), and if the same tweet has already been pulled and is shared on a public domain, then it might make the user/community vulnerable to many inferences coming out of the shared data.
DOI: 10.17632/2rzz7xfwkv.2
title: Zebrafish Purkinje cells electrical properties

description: Title Functionally-distinct Purkinje cell types show temporal precision in encoding locomotion Authors Weipang Chang, Andrea Pedroni, Victoria Hohendorf, Stefania Giacomello, Masahiko Hibi, Reinhard W. Köster and Konstantinos Ampatzis Abstract Purkinje cells, the principal neurons of cerebellar computations, are believed to comprise a uniform neuronal population of cells, each with similar functional properties. Here, we show an undiscovered heterogeneity of adult zebrafish Purkinje cells, revealing the existence of anatomically and functionally distinct cell types. Dual patch-clamp recordings showed that the cerebellar circuit contains all different Purkinje cell types that cross-communicate extensively using chemical and electrical synapses. Further activation of spinal central pattern generators (CPGs) revealed unique phase-locked activity from each Purkinje cell type during the locomotor cycle. Thus, we show intricately organized Purkinje cell networks in the adult zebrafish cerebellum that encode the locomotion rhythm differentially, and we suggest that these organizational properties may also apply to other cerebellar functions.
DOI: 10.17632/4fvk98cr38.1
title: Modulation of Extracellular ISG15 Signaling by Pathogens and Viral Effector Proteins

description: Swaim, et al., Cell Reports, 2020.
DOI: 10.17632/r6wh5b6855.1
title: Physician assisted suicide

description: When diagnosed with a terminal disease patient autonomy should be honored and if they want to take end of life measures they should be able to do so humanely and safely under physician care
DOI: 10.14457/tu.res.2009.230
title: ปัจจัยที่มีอิทธิพลต่อความภักดีในตราสินค้าที่มีต่อสินค้า iPod ของผู้บริโภคในเขตกรุงเทพมหานคร
DOI: 10.14457/tu.res.2009.231
title: ปัจจัยที่มีผลกระทบต่อ e-satisfaction ในธุรกิจผู้ให้บริการทัวร์ :
DOI: 10.14457/tu.res.2009.232
title: การปรับปรุงกระบวนการวิเคราะห์และแก้ไขปัญหาบริการตามกรอบ eTOM ด้วยแบบจำลองสถานการณ์ :
DOI: 10.14457/tu.res.2009.233
title: ศึกษาปัจจัยความเหมาะสมในการบริหารจัดการพื้นที่อาคารสำนักงาน
DOI: 10.14457/tu.res.2009.234
title: ปัจจัยที่มีผลต่อการยอมรับการตัดสินใจซื้อสินค้าผ่านพาณิชย์อิเล็กทรอนิกส์แบบผู้บริโภคกับผู้บริโภคบนเครือข่ายสังคมออนไลน์ :
DOI: 10.14457/tu.res.2009.235
title: การศึกษาความสัมพันธ์ระหว่างความพึงพอใจในคุณภาพระบบสารสนเทศกับความคิดเห็นต่อประสิทธิภาพการทำงานในองค์กรภาครัฐแห่งหนึ่ง
DOI: 10.14457/tu.res.2009.236
title: ปัจจัยด้านคุณลักษณะของสินค้าเทคโนโลยีที่มีความสัมพันธ์กับพฤติกรรมการเลือกซื้อเครื่องจีพีเอสนำทาง ในรถยนต์ของผู้บริโภคในเขตกรุงเทพมหานคร
DOI: 10.14457/tu.res.2009.237
title: การศึกษากระบวนการจัดการความรู้ภูมิปัญญาท้องถิ่น :
DOI: 10.14457/tu.the.2009.887
title: การศึกษาความสัมพันธ์ระหว่างการเจริญเติบโตของผลิตภาพและประเภทของนวัตกรรม :
DOI: 10.17632/8hv5grr49s.2
title: Machine learning assessment of frp-strengthened and reinforced concrete members
DOI: 10.17632/k263py4fzb.1
title: AVM clinical data for building prediction models

description: The dataset in the file "combined1.csv" included 384 patient's clinical data, including 7 variables: age, sex, location, aneurysm, nidus size, draining type, the number of draining veins, and hemorrhage. Female was defined as 0, male as 1. Superficial AVM was defined as 0, deep AVM as 1, infratentorial AVM as 2. Only superficial draining vein was defined as 0, mixed superficial and deep draining vein as 1. A single draining vein was defined as 1, multiple draining veins as 2. Ruptured AVM was defined as 1, unruptured AVM as 0. The file "randomtestpredict.R" was the source file in RStudio, which was used to build and test prediction models based on the above data file.
DOI: 10.17632/kdx92hmgkx.1
title: Energy consumption and socio-economic characteristics of electric vehicle charging infrastructure.

description: This is the data associated with the publication entitled "Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data". The link to the ArXiv pre-print is: https://arxiv.org/abs/2006.01672 The data was compiled from various GIS public data sources, as well as from the EVnetNL dataset (please refer to the Supplementary Information of the publication). Feature matrix, without charging pool features, is in the file "feature_matrix.csv"; matrix containing only charging pool features is in the file "chargin_pool_features.csv". Columns correspond to features. The latitude and longitude are rounded to one decimal place, due to business confidentiality reason. Response vector is in the file "energy_log_response.csv" and the value corresponds to the logarithm of consumed energy at the charging pools transformed using the standardization (mean = 0, standard deviation = 1). The first column in all the files is the charging pool identifier, however, the response vector can be matched with matrices by rows. Brief description of the feature matrix is in the file "predictor_desc_pub.csv". For the full description of features please refer to the Supplementary Information of the publication.
DOI: 10.17632/nkcnp35vh4.2
title: Structural and electrical Dataset

description: This data set contains structural information regarding diffraction and spectroscopy of cellulosic Sunn Hemp fiber. First, the XRD diffraction data will shed light on the crystallinity and crystallite size of cellulose. You can interpret the diffraction data by using Segal's peak height method or deconvoluted technique and Scherer's formula to find out cellulose crystallinity and crystallite size respectively. The diffraction data were gathered with certain conditions and specific instrumental parameters. The relative intensity were taken at the angle that scan from 5˚ to 50˚ with a 3˚/min scanning rate and step size of 0.01˚ The spectroscopic data is obtained using the FTIR tool to check the functional groups and bonding. You can interpret the result by checking on the transmission peaks. Cellulose is pure polar in nature and hence hydrophilic. If you are trying to reduce the hydrophilicity, then you will find some peak loss due to the bond-breaking removal of polar molecules. From transmission peak, you also can get the idea of the percentage of transmission with treatment. The data are examined over 8 scans utilizing a nominal resolution of 4 cm-1 at the near-infrared region of wave number 4000 to 400 cm-1. From the electrical data set, you can evaluate the dielectric parameters, impedance, conductivity, and modulus. The current data was derived from an LCR meter in the frequency range of 100 Hz to 100 kHz at ambient temperature. This data will enable us to hold the information of the dielectric stability of composites that are made from naturally derived fibers. To interpret the dielectric and other electrical mentioned parameters, you will be needing a couple of formula which define dielectric constant, dielectric loss, ac conductivity, modulus etc.
DOI: 10.17632/ydgcm2933y.2
title: Data for: Degradation of single-crystal Cu nanowires in a low-reactive plasma environment
DOI: 10.14457/tu.the.2009.888
title: แนวโน้มภาพยนตร์ไทยเพื่อการส่งออกสู่ต่างประเทศ :
DOI: 10.17632/2n7rwb2y6c.1
title: Youth Unemployment Duration and Wage by Search Method
DOI: 10.17632/2n7rwb2y6c.2
title: Youth Unemployment Duration and Wage by Search Method
DOI: 10.17632/7cg9ngb8zw.2
title: Human QLS-190918

description: Cross-sectional survey on adult Chinese @ Shenzhen QLS, China.
DOI: 10.17632/9dgjv8bt8c.1
title: Epigenetic Reprogramming of Cancer Associated Fibroblasts Deregulates Glucose Metabolism and Facilitates Progression of Breast Cancer

description: This dataset contains all source data for the manuscript.
DOI: 10.17632/82zb9mc7gb.1
title: Sequence alignments and neighbour joining trees of public DNA sequences with annotations of Lutjanidae species
DOI: 10.17632/ct47f5gbnc.1
title: Suppl.Table 1:

description: Mean GAS scores before and after intervention, data expressed as mean ± standard deviation and number (%). Significance is considered when p&lt;0.05 *ITT protocol with Last observation Carried Forward (LOCF)
DOI: 10.17632/fyk9s2rdwm.1
title: Lipid metabolism in asthmatic patients by lipidomic analysis.

description: Lipid metabolism in asthmatic patients by lipidomic analysis.
DOI: 10.17632/n5csdjfg3c.1
title: Comparison of experimental data obtained using the reference and the single-serpentine proton exchange membrane single fuel cell testing hardware

description: The attached experimental data of single Polymer Electrolyte Membrane (PEM) fuel cell aim for comparing the characteristics of two different testing hardware, namely the recently developed JRC ZERO∇CELL single cell reference testing hardware and the commonly used by the research community single-serpentine testing hardware. Data are presented in form of polarisation curves, temperature, pressure and voltage distributions, as well as electrochemical impedance spectroscopy measurements for a range of current densities. The electrochemical impedance spectroscopy data are also validated using the Kramers-Kronig transformation and presented as Nyquist and Bode plots.
DOI: 10.17632/69t8tvbwzf.1
title: The motivation of university students of International Relations to learn English

description: The file contains the data of the research on the motivation of Bulgarian students of International Relations to learn English as a second language.
DOI: 10.17632/gf4z258zsf.1
title: Following the Study at the Bergen Summer Research School: Global Climate Change and Impact on Lithuania

description: The presentation consists of two parts: the first part is dedicated to the Bergen Summer Research School (BSRS) study results, the second one includes the analysis of climate change in Lithuania using data on extreme weather events and monthly distribution of temperature and precipitation. The material taken from BSRS is more descriptive, meanwhile, more detailed analysis is adduced in the second part where the data from the Lithuanian Hydrometeorological Service (LHMS) archives have been processed. The severity of hazardous weather phenomena, the analysis of mean temperature and precipitation trend, and the decreased number of days with temperature -25 °C and increased with &gt;+30 °C show the obvious change in seasonal weather pattern in Lithuania.
DOI: 10.17632/md54zyt798.2
title: ante_postnatal depression
DOI: 10.17632/6yxdt9xc2n.4
title: Data for: Use of aquaculture ponds by globally endangered red-crowned crane (Grus japonensis) during wintering period in the Yancheng National Nature Reserve, a Ramsar wetland

description: Raw data : Use of aquaculture ponds by globally endangered red-crowned crane (Grus japonensis) during wintering period in the Yancheng National Nature Reserve, a Ramsar wetland
DOI: 10.17632/dnyswvsx8v.1
title: TMIDAS-CDT

description: R codes for estimating the TMIDAS-CDT model.
DOI: 10.17632/hjywmmp7cr.1
title: Acetylation-dependent deubiquitinase OTUD3 controls MAVS activation in innate antiviral immunity

description: Accurate regulation of innate immunity is necessary for the host to efficiently respond to invading pathogen and avoid excessive harmful immune pathology. Here we identified OTUD3 as an acetylation-dependent deubiquitinase that restricts innate antiviral immune signaling. OTUD3 deficiency in mice results in enhanced innate immunity, a diminished viral load, and morbidity. OTUD3 directly hydrolyzes K63-linked poly-ubiquitination of MAVS and thus shuts off innate antiviral immune response. Notably, the catalytic activity of OTUD3 relies on acetylation of its lysine129 residue. In response to virus infection, the acetylated lysine129 is removed by SIRT1, which promptly inactivates OTUD3 and thus allows timely induction of innate antiviral immunity. Importantly, acetyl-OTUD3 levels are inversely correlated with IFN-beta expression in influenza patients. These findings establish OTUD3 as a repressor of MAVS and uncover a previously unknown regulatory mechanism via which the catalytic activity of OTUD3 is tightly controlled to ensure timely activation of antiviral defense.
DOI: 10.17632/t6cx4j63pf.4
title: Supplementary material for book chapter: Machine Learning-based AI in novel image data processing for hybrid cardiovascular imaging

description: This dataset contains digital material accompanying the book chapter about machine learning-based AI in novel image data processing for hybrid cardiovascular imaging
DOI: 10.17632/3g75mcspcm.1
title: Air-oxidation of ultra-thin Nb films

description: XPS experimental data
DOI: 10.17632/md54zyt798.1
title: ante_postnatal depression

description: this cross-sectional study was conducted among pregnant and postpartum women in rural areas of Sichuan Province, Southwest China, from December, 2017 to May, 2018.
DOI: 10.17632/mrvvrr7wtc.1
title: Double pipe heat exchanger with flat spring turbulator: Dataset

description: Data set contains the experimental results of Double pipe heat exchanger with flat spring turbulator.
DOI: 10.17632/nkcnp35vh4.1
title: Structural and electrical Dataset

description: This data set contains structural information regarding diffraction and spectroscopy of cellulosic Sunn Hemp fiber. First, the XRD diffraction data will shed light on the crystallinity and crystallite size of cellulose. You can interpret the diffraction data by using Segal's peak height method or deconvoluted technique and Scherer's formula to find out cellulose crystallinity and crystallite size respectively. The diffraction data were gathered with certain conditions and specific instrumental parameters. The relative intensity were taken at the angle that scan from 5˚ to 50˚ with a 3˚/min scanning rate and step size of 0.01˚ The spectroscopic data is obtained using the FTIR tool to check the functional groups and bonding. You can interpret the result by checking on the transmission peaks. Cellulose is pure polar in nature and hence hydrophilic. If you are trying to reduce the hydrophilicity, then you will find some peak loss due to the bond-breaking removal of polar molecules. From transmission peak, you also can get the idea of the percentage of transmission with treatment. The data are examined over 8 scans utilizing a nominal resolution of 4 cm-1 at the near-infrared region of wave number 4000 to 400 cm-1. From the electrical data set, you can evaluate the dielectric parameters, impedance, conductivity, and modulus. The current data was derived from an LCR meter in the frequency range of 100 Hz to 100 kHz at ambient temperature. This data will enable us to hold the information of the dielectric stability of composites that are made from naturally derived fibers. To interpret the dielectric and other electrical mentioned parameters, you will be needing a couple of formula which define dielectric constant, dielectric loss, ac conductivity, modulus etc.
DOI: 10.17632/xpzt8rsxbc.3
title: Simulation of the geographical spread of COVID-19 disease based on mobile cell data: animated dispersal of undiagnosed infected and modelling the mobility behaviour under displacement restrictions

description: Real-time tracking of the spatial diffusion of airborne diseases, and especially COVID-19 is in the focal point of both recent academic studies and policymaking. Airborne pathogens are handed over by interpersonal encounters. Therefore, agent-based modelling provides a useful approach to grasp the complex and interrelated nature of spatiotemporal movement and the geographical spread of infectious diseases. Although technology development rendered it to be feasible to track the spatial spread of infected individuals, the spatial scale of data retrieval can cause challenging bottlenecks for academic analysis. Samples on community-scale, for instance, by crowdsourced data as well as the global level of international aircraft movements are addressed. However, regional-scale spread of airborne diseases conveyed by human mobility rarely comes into focus. By directing our efforts to the level of countrywide diffusion, we aim to disclose the spatial component of airborne pathogens’ infection carried over by interpersonal encounters. The mobile cell dataset we applied here is especially suitable to estimate the number of interpersonal encounters, that is enabled by co-locating the same space with an infected person within a definite timeframe. Consequently, we considered mobile phone data driven co-location as ‘locational chance’ of airborne pathogen spreading. The volume of spread, as we argue, is dependent on the interpersonal connections. According to the current results, the geographical spread of COVID-19 is dominantly carried over by latently infected individuals, who transmit the disease without showing any symptoms. We modelled the interpersonal encounters of a set of randomly chosen latent infected as an indicator of the further geographical spread of the disease. We applied two various sets of models running: one, that is based on real archive data, and the other, that simulates current mobility patterns ordered by relocation restrictions.
DOI: 10.5281/zenodo.3877873
title: Validation of Time Series Technique for Prediction of Conformational States of Amino Acids

description: Validation of Time Series Technique for Prediction of Conformational States of Amino Acids - a project for fulfillment of M.Sc (Master of Science) in Bioinformatics.
DOI: 10.5281/zenodo.3877874
title: Validation of Time Series Technique for Prediction of Conformational States of Amino Acids

description: Validation of Time Series Technique for Prediction of Conformational States of Amino Acids - a project for fulfillment of M.Sc (Master of Science) in Bioinformatics.
DOI: 10.17632/h2gzf2pggm.2
title: Railway network of Galicia and Austrian Silesia 1847 - 1914

description: The dataset presents the historical railway network of Galicia and Austrian Silesia – two regions of the Habsburg Empire, covering more than 80 000 km2, currently divided among Czechia, Poland and Ukraine. The network covers the times of railway appearance and the most dynamic development of the 19th and beginning of the 20th century, up to 1914 – the outbreak of the First World War. The data can be characterized by unprecedented positional accuracy, as they were reconstructed based on the current railway network, which resulted in almost no shifts in space. Most of the lines were reconstructed based on OpenStreetMap data, and the lines, which were closed-down between 1914 and 2019, and are no longer available in spatial datasets, were reconstructed based on high-resolution satellite imageries and historical maps. Altogether, the network covers nearly 5000 km on 127 lines. The data are accompanied by a set of attributes, i.e. year of construction, length, starting and final point, type (normal, narrow-gauge, etc.). It can be used in many different applications including historical accessibility mapping, migrations, economic development, the impact of past human activities on current environmental and socio-economic processes, like land use change drivers, landscape fragmentation, invasion of new species and many more. Data are available for download in the shp format. Acknowledgments This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2020, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83).
DOI: 10.17632/t5tngb9kr7.2
title: Semantic Scholar Evaluation

description: The dataset is constructed for a project that investigates the coverage and the role of Semantic Scholar (S2) search engine in condunting secondary studies in software engineering.
DOI: 10.17632/vw5st5wvkd.1
title: Effects of fire history on thermal regimes of soils in the active layer and near-surface permafrost in the northern Da Xing’anling Mountains, NE China

description: In the northern Da Xing’anling Mountains in Northeast China, Effects of fire history on soil temperature, active layer thickness and soil moisture content. And the influence of different fire severity on thermal regimes of soils. The results showed that ground temperatures increased with increasing fire severity, and these changes mainly occurred at depths of 0–1.5 m. Moreover, nine years after a severe burn, the depth of evident temperature changes exceeded 6 m, and inferred warming of 2.7oC at 6 m depth. The onset of freeze-thaw processes in the active layer delayed at some severely burned sites, but advanced at some others. Presumably due to the influence of forest fires, the active layer thickness at severely burned sites was 3.8 m compared to 1.2 m at the un-burned site. Soil moisture content and organic-layer and snow-cover thicknesses also play important roles in further complicating the fire impacts on the permafrost environment.