cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5mrnc2bfv7.1
title: Supplementary Figure S2 - Typical fecal excretion curves - JDS19932

description: Supplementary Figure S2. Typical excretion curves of individual calf observations. The measured concentrations of Co (upper panel), Yb (middle panel), and Cr (lower panel) in feces with the fitted curve using the generalized Michaelis-Menten equation, as proposed by López et al. (2000).
DOI: 10.34840/b55n-vw86
title: West Highland White Terriers under primary veterinary care in the UK in 2016: Demography and Disorder Data
DOI: 10.17632/32jrtd3dbr.1
title: Supplementary Figure S1 - Timeline experimental protocol - JDS19932

description: Supplementary Figure S1. Timeline of the experimental protocol per batch of calves (2 batches, 24 calves each). For each treatment (6 calves per treatment), the adaptation period ranged from 6 to 9 weeks for pair 1 to 3 (i.e., paired according to BW). The second batch of calves had a higher BW from the start, therefore having a shorter adaptation period ranging from 5 to 8 weeks. The adaptation period was followed by 7 days in climate respiration chambers (pair-housed) to measure the recovery of 13C tracers in breath after intravenous administration of [13C]sodium bicarbonate and oral administration of [1-13C]octanoate and bacterial protein, as detailed for pair 1. Subsequently, calves were fitted with harnesses to which plastic bags were attached and housed individually in a pen for 7 days, to determine the fecal excretion curves of 3 orally administrated indigestible markers (i.e., Cr-NDF, Yb2O3, and Co-EDTA), as detailed for pair 3.
DOI: 10.17632/66s73ptd5k.1
title: Supplementary Figure S2 - JDS19933 - passage kinetics in veal calves

description: Supplementary Figure S2. Typical excretion curves of individual calf observations. The measured concentrations of Co (upper panel), Yb (middle panel), and Cr (lower panel) in feces with the fitted curve using the generalized Michaelis-Menten equation, as proposed by López et al. (2000).
DOI: 10.17632/czk6hm5bhv.1
title: Supplementary Figure S1 - JDS19933 - passage kinetics in veal calves

description: Supplementary Figure S1. Timeline of the experimental protocol per batch of calves (2 batches, 24 calves each). For each treatment (6 calves per treatment), the adaptation period ranged from 6 to 9 weeks for pair 1 to 3 (i.e., paired according to BW). The second batch of calves had a higher BW from the start, therefore having a shorter adaptation period ranging from 5 to 8 weeks. The adaptation period was followed by 7 days in climate respiration chambers (pair-housed) to measure the recovery of 13C tracers in breath after intravenous administration of [13C]sodium bicarbonate and oral administration of [1-13C]octanoate and bacterial protein, as detailed for pair 1. Subsequently, calves were fitted with harnesses to which plastic bags were attached and housed individually in a pen for 7 days, to determine the fecal excretion curves of 3 orally administrated indigestible markers (i.e., Cr-NDF, Yb2O3, and Co-EDTA), as detailed for pair 3.
DOI: 10.17632/xwpx2v5m4d.1
title: Research Data for the paper untitled "High precision 26Al-26Mg chronology of chondrules in unequilibrated ordinary chondrites: evidence for restricted formation ages" from Siron et al.

description: Research data for high precision Al-Mg chronology on unequilibrated ordinary chondrites. This contain: - raw SIMS data for Al-Mg and oxygen three isotopes sessions - full sections BSE mosaic image with and without chondrule names - raw EDS spectrum data in excel format - raw EDS spectrum data in word format including the BSE image with location of EDS spectrums - Mg# of olivine and pyroxene (average, 1SD, n, min, max) for each chondrule investigated
DOI: 10.17632/s8gfn7bcd2.2
title: Combined Efficacy of Manual therapy, lumbar canal enlargement with conventional exercises on pain, claudication distance and functional disability in the subjects of Lumbar Canal Stenosis

description: The aim of the study conducted was to check the effectiveness of combined manual therapy, lumbar canal enlargement exercises and conventional therapy on pain, claudication distance and functional disability in patients of Lumbar Canal Stenosis (LCS) with Antero-posterior canal diameter of 8-12mm. The pain intensity, functional disability was measured with Numeric Pain Rating Scale (NPRS) and Modified Oswestry Disability Index (MODI) respectively. The Anteroposterior canal diameter was pre-diagnosed with T1 and T2 weighted Magnetic Resonance Imaging (MRI) and claudication distance was measured with Self-Paced walking test (SPWT). After assessing the baseline measures the combined intervention as stated above was provided for 4 weeks and again these outcomes will be assessed at post-intervention.
DOI: 10.17632/nwcv33mvdf.2
title: Model for profiling users with disabilities on e-Learning platforms

description: Model for the generation of the profiles of users with disabilities on e-Learning platforms. Thanks to the identification of the WCAG's implementable success criteria, the Elderly and Linguistics categories generate a profile that combines characteristics of disabilities. The document is an XML file that contains the Schema.org metadata based on the WCAG 2.2. This document contains the tags corresponding to the different success criteria, each XML refers to a specific user profile. These documents should be used by eLearning platforms to adapt their interfaces for users with and without disabilities.
DOI: 10.17632/2k33svf244.1
title: Timing is everything event-related TDCS (er-TDCS) improves motor adaptation

description: Coincident, time-dependent mechanisms of synaptic plasticity are the canonical basis of theories of motor learning. These ‘Hebbian’ mechanisms are ubiquitous throughout the mammalian brain, having been described in the hippocampus, cerebellum, and sensory-motor cortices, and are believed to underpin all forms of learning and memory. Yet, protocols for non-invasive brain stimulation intended to promote motor learning and rehabilitation - particularly transcranial direct current stimulation (TDCS) - largely ignore timing-dependent mechanisms. Changes in neuronal excitation have been shown to be almost instantaneous in terms of increases in firing rates and motor evoked potentials following the application of TDCS and other forms of polarising currents. Despite this, most conventional studies apply TDCS for 15-20 minutes in a continuous stimulation period, prior to and/or during a motor task. If TDCS can instantaneously modulate neural activity, applying short duration epochs of TDCS temporally aligned with movement has the potential to specifically and selectively enhance learning, by driving coincident mechanisms of plasticity in the circuits of the brain that are active during the movement. Thus, we designed a context-dependent force-field adaptation task, in which we applied short epochs of TDCS coincidentally with one of two reaching movements performed during the task - a stimulation protocol we termed event-related TDCS (er-TDCS). Healthy young participants (n = 60) learned to reach through two opposing velocity-dependent force-fields, applied on interleaved trials in a pseudorandomised order. The two force-fields were contextually distinguished by a leftward or rightward shift in the visual display, although the movement was always performed in the midline. During adaptation a leftward shift in visual task display was associated with a clockwise (CW) curl-field and a rightward shift in display was associated with a counter-clockwise (CCW) curl-field. During baseline and washout, trials were still distinguished by workspace shifts but were performed without any forces applied (null-field). er-TDCS was selectively applied over the cerebellum or M1 in brief (&lt; 3 second bouts) during movements through the CCW force-field, and associated rightward shift in visual task display. Consequently, only one of the two learning contexts was performed with simultaneous stimulation, while the unstimulated context provided a within-subject control. We demonstrate that brief epochs of stimulation, applied in synchrony with movement, selectively enhanced motor adaptation whilst, importantly, leaving adaptation of the non-stimulated (yet interleaved) movements unaffected.
DOI: 10.17632/crt6vws7m2.1
title: Distancionnoe obuchenie kitajskomu yazyku

description: S povysheniem mezhdunarodnogo statusa Kitaya populyarnost' kitajskogo yazyka prodolzhaet rasti, i vse bol'she i bol'she inostrancev nachinayut izuchat' kitajskij yazyk. Iz-za razlichnyh ogranichenij, takih kak vozrast, geograficheskoe polozhenie, ekonomika i okruzhayushchaya sreda, bol'shinstvo uchashchihsya ne mogut poekhat' v Kitaj, chtoby izuchat' kitajskij yazyk. Chislo izuchayushchih ego uvelichivaetsya s kazhdym godom, i chislo prepodavatelej kitajskogo yazyka ne mozhet udovletvorit' global'nyj spros. Poyavlenie modeli distancionnogo obucheniya kitajskomu yazyku oblegchilo nyneshnyuyu dilemmu prepodavaniya. Eta model' obucheniya pozvolyaet vse bol'shemu kolichestvu izuchayushchih kitajskij yazyk za rubezhom poluchat' udovol'stvie ot izucheniya kitajskogo yazyka.
DOI: 10.17632/s73yhbrw8d.1
title: Modeling and Performance Analysis of Shell Tube Surface Condenser under Lumped Parameters using Fuzzy Self-tuning PI Controller

description: Shell tube surface condenser (STSC) is a heat exchanger system that exchange a high pressure steam into low pressure water and it is widely used in applications like textile industries and nuclear power plants. The modelling of the system has been established based on lumped parameters. In this paper, a fuzzy expert system is developed in order to improve the performance of the condenser. A pressure feedback system has been developed to analyze the effect of the condenser output temperature, circulating water flow and heat developed. An experiment has been made for the closed loop system using fuzzy tuned PI, fuzzy logic and PID controllers and a promising results have been obtained successfully.
DOI: 10.17632/2d4m987jyd.1
title: Delhi PM 2.5 chemical composition data

description: Long term PM 2.5 chemical composition data for Delhi. WSOC values are based on Kirillova et al. 2014 ratio of WSOC to OC. Day and night filter paper samples were collected and subsequently analyzed on Ion Chromatograph for ions and OC/EC analyzer for OC and EC.
DOI: 10.17632/5j93jhjh6n.1
title: Proteome Dataset of Chili Pepper Plant (Capsicum frutescens) Infested by Broad Mite (Polyphagotarsonemus latus) - Supplementary files

description: Supplementary files of TMT labelled proteomic study of Capsicum frutescens infested by a Polyphagotarsonemus latus. Data was captured using a nano liquid chromatography system coupled with a high-resolution Orbitrap FusionTribridmass spectrometer. Proteomics data was analyzed using the Proteome Discoverer version 2.4 tool using MASCOT and SequestHT algorithms. List of identified proteins (Supplementary Table 1), identified proteins belonging to different protein classes (Supplementary Table 2), Output dataset of reciprocal BLAST (Supplementary Table 3), Output dataset obtained from SUBA4 tool (Supplementary Table 4), Output dataset obtained from STRING analysis (Supplementary Table 5), Interactive file of STRING analysis (Supplementary file 6) and List of identified capsicum proteins mapped to different KEGG Orthology (Supplementary Table 7) are attached here.
DOI: 10.17632/kj3zn5nx6b.1
title: UK and EU case studies
DOI: 10.17632/cpzn74v9pj.2
title: Segregating Amazon logging wastes from sustainable forest management improves carbonization indices performed in brick kilns

description: Data on the physical properties of logging wastes from sustainable forest management. In addition, carbonization indices. These data were used in the preparation of an article submitted to Renewable and Sustainable Energy Reviews, whose title is the same as that of this database.
DOI: 10.17632/jnxhwjzywp.1
title: Tanzanian Small-Scale Fisheries Survey Data

description: The dataset is part of a survey conducted in Tanzania that was produced with the financial support of the Global Challenges Research Fund (GCRF) in the framework of the SOLSTICE‐WIO project, NE/P021050/1. The survey was conducted during two field campaigns - one in July 2018, the other in July/August 2019. Fishers’ information was collected from 293 heads of households across 4 regions/islands including Unguja Island (Nungwi and Mkokotoni); Pemba Island (Wesha) Tanga on the mainland (Mkinga) and Mafia Island (Bweni and Kilindoni). All interviews were conducted in Swahili at the fish landing sites (fishing markets at each location chosen as sampling clusters) using a non-probability approach (i.e. haphazard versus convenience sampling) due to the logistical difficulties of conducting a probability random sample across households that were highly geographically spread in all sampled communities. Also, because the target sampling population were fishers, the best way to sample them was to treat market locations as sampling clusters. The study focuses on how fishers within different wealth quartiles perceive their ability to diversify livelihoods and how diverse their fishing strategies are. The research questions were (1) do wealthier fishers have greater ability to diversify livelihoods, and (2) do wealthier fishers have highly diverse fishing portfolios? The study applied these questions to Small-Scale Fisheries in Tanzania to observe whether wealthier fishers are utilising diversification strategies to increase resilience and decrease financial risk associated to dependency on tropical fisheries. The main findings were that wealthier fishers in Pemba, Zanzibar, and Mafia have greater access to diverse fishing portfolios and had higher levels of adaptive capacity to shift into alternative occupations. However, wealthier fishers in Tanga have less diverse fishing strategies and lower levels of adaptive capacity. Acknowledgments: The team responsible for the survey work carried out in Tanzania was led by Shankar Aswani and Narriman Jiddawi: Khamis Hassan, Maryam Abeid and Ali Rashid, Ramadhan Rashid, Frank Mirobo, Amana Pandu, Nassoro Katunda, Tumbu Ladislaus, Idris Kweweta, Filbert Msafiri and Secilia Tarama, Rose Mwaipopo, Jack Coupland, Brian Khumalo, Yvette Le Fleur and Amber Smith, Lebogang Kibane, and Rinisa Naidoo, and overall project logistics coordination by Sofia Alexiou.
DOI: 10.17632/y3hjf9h7jt.1
title: SfePy: Homogenization of the vibro-acoustic transmission on perforated plates with embedded resonators

description: Code for finite element simulation of vibro-acoustic transmission on perforated plates.
DOI: 10.17632/phccxwhxk6.3
title: Raw data for Estuarine Turbidity Maximum in the Cam-Nam Trieu

description: There are research data of the manuscript "The double structure of the Estuarine Turbidity Maximum in the Cam-Nam Trieu tropical estuary, Vietnam". They are raw data of CTD, LISST, SPM and river discharge.
DOI: 10.17632/5mkvk5yc4w.2
title: Ringed seal (Phoca hispida) induced multipotent stem cells transcriptome analysis data

description: We generated ringed seal (Phoca hispida) induced multipotent stem cells from fibroblasts by overexpression of human transgenes: OCT4, SOX2, KLF4 and c-MYC. The resulting cell line, iPHIS1, had the expression of pluripotency marker gene Rex1. Differentiation in embryoid body-like structures allowed us to register expression of AFP, endoderm marker, and Cdx2, trophectoderm marker, but not neuronal (ectoderm) markers. The cells readily differentiated into adipocytes and osteocytes, mesoderm cell types of origin. Transcriptome analysis allowed us to conclude that the cell line does not resemble human pluripotent cells, and, therefore, most probably are not pluripotent. Thus, we produced ringed seal multipotent stem cell line capable of differentiation into adipo- and osteocytes. The raw sequence data are available in NCBI BioProject repository, accession number: PRJNA718133, link: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA718133. The data below represents transcriptome analysis.
DOI: 10.17632/8rrdtjs632.1
title: Primenenie modeli smeshannogo obucheniya v prepodavanii russkogo yazyka

description: Primenenie modeli smeshannogo obucheniya v prepodavanii russkogo yazyka mozhet ne tol'ko uluchshit' sposobnost' studentov k ovladeniyu i prakticheskomu ispol'zovaniyu russkogo yazyka, no i povysit' uroven' prepodavaniya russkogo yazyka uchitelyami. Takim obrazom, ispol'zovanie modeli smeshannogo obucheniya russkomu yazyku imeet krajne vazhnoe obrazovatel'noe znachenie.
DOI: 10.17632/zhktwyxny9.1
title: cyberloafing and interpersonal facilitation

description: Our study collected data from 367 employees of Chinese manufacturing companies, and its results revealed that (1) cyberloafing is negatively related to relational attachment at work; (2) relational attachment mediates the negative relationship between cyberloafing and interpersonal facilitation; (3) both initiated task interdependence and received task interdependence weaken the relationship between cyberloafing and relational attachment, and (4) that the indirect effect of cyberloafing on interpersonal facilitation via relational attachment is weakened by both initiated task interdependence and received task interdependence. The hierarchical regression analysis was used to verify the findings. Cyberloafing was measured with 8 items；relational attachment was measured with 4 items；interpersonal facilitation was measured with 5 items; ITI (initiated task interdependence) and RTI (received task interdependence) were measured with two 3-item scales. Three demographic variables (gender, age, and job tenure) were controlled for.
DOI: 10.17632/tx5h776cbs.1
title: Dissociation of posture remapping and cognitive load in level-2 perspective-taking: Raw data of three experiments

description: Yeh, Yei-Yu, Wang, Chi-Chin, Cheng, Shih-kuen, & Chiu, Chui-De. (in press). Dissociation of posture remapping and cognitive load in level-2 perspective-taking. Cognition.
DOI: 10.17632/cnrzhcybp6.1
title: Multi-level climate change planning: An analysis of the Italian case. Datasets.

description: This dataset provides key data on the Local Climate mitigation and adaptation Plans (LCP) of 32 Italian cities included in the restricted set of the sample of the City statistics database (former Urban Audit database) of Eurostat; the 32 provinces in which these cities are included; 19 regions and 2 Autonomous Provinces (Trento and Bolzano), which from a planning perspective function as regions. The main information and data reported in each file of this dataset are: 1. List of the analysed urban mitigation plans: City, City population, Integrated Mitigation and Adaptation Plan name, Year of adoption, Web link, Type of LCP, Mitigation Plan name, Year of adoption, Web link, Type of LCP, CO2 and GHG (CO2eq) emission target (%, baseline year, target year). 2. List of the analysed urban adaptation plans: City, City population, Integrated Mitigation and Adaptation Plan name, Year of adoption, Web link, Type of LCP, Adaptation Plan name, Year of adoption, Web link, Type of LCP. 3. List of the analysed provincial mitigation and adaptation plans: Province, Province population, Integrated Mitigation and Adaptation Plan name, Year of adoption, Web link, Type of LCP, Mitigation Plan name, Year of adoption, Web link, Type LCP, CO2 and GHG (CO2eq) emission target (%, baseline year, target year), Adaptation Plan name, Year of adoption, Web link, Type of LCP, Covenant Territorial Coordinators of the Covenant of Mayors for Climate and Energy (Year of membership and number of municipalities supported). 4. List of the analysed regional mitigation and adaptation plans: Region, regional population, Integrated Mitigation and Adaptation Plan name, Year of adoption, Web link, Type of LCP, Mitigation Plan name, Year of adoption, Web link, Type LCP, CO2 and GHG (CO2eq) emission target (%, baseline year, target year), Adaptation Plan name, Year of adoption, Web link, Type of LCP, Covenant Territorial Coordinators of the Covenant of Mayors for Climate and Energy (Year of membership and number of municipalities supported), membership to the following transnational climate initiative: Paris Pledge for Action, Under2 Memorandum of Understanding.
DOI: 10.17632/rcbd675rt6.2
title: Vehicle Routing with Occasional Drivers and Order Bundles (VRP-OD-OB)

description: Data Sets for the Vehicle Routing with Occasional Drivers and Order Bundles (VRP-OD-OB)
DOI: 10.17632/p2vyrmghyz.10
title: Dr Odysseas Kopsidas

description: BscEconomics Bsc Civil Engineering LLB Law Msc Industrial Management and Technology Msc Law and Economics PhD Industrial Management and Technology PhD Environmental Economics
DOI: 10.17632/3vkjghg966.1
title: Podgotovka pedagogov v rezhime distancionnogo obucheniya anglijskomu yazyku vzroslyh

description: V stat'e rassmatrivaetsya deyatel'nost' prepodavatelya v rezhime distancionnogo obucheniya. Naibolee vazhnymi pedagogicheskimi usloviyami realizacii sistemy distancionnogo obucheniya v real'noj obrazovatel'noj praktike yavlyayutsya teoreticheskie osnovy, organizacionnye formy distancionnogo obucheniya, didakticheskoe obespechenie distancionnogo obucheniya, pedagogicheskij kontrol' pri distancionnom obuchenii, gotovnost' obuchayushchihsya k samostoyatel'noj rabote v rezhime distancionnogo obucheniya, podgotovka pedagogov dlya raboty v sisteme distancionnogo obucheniya.
DOI: 10.17632/zppcyk2fdt.1
title: HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks

description: Social networks are widely used for information consump- tion and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large vol- ume, social media content is often too noisy for direct use in any application. Therefore, it is important to filter, catego- rize, and concisely summarize the available content to facil- itate effective consumption and decision-making. To address such issues automatic classification systems have been de- veloped using supervised modeling approaches, thanks to the earlier efforts on creating labeled datasets. However, existing datasets are limited in different aspects (e.g., size, contains duplicates) and less suitable to support more advanced and data-hungry deep learning models. In this paper, we present a new large-scale dataset with ∼77K human-labeled tweets, sampled from a pool of ∼24 million tweets across 19 disas- ter events that happened between 2016 and 2019. Moreover, we propose a data collection and sampling pipeline, which is important for social media data sampling for human annota- tion. We report multiclass classification results using classic and deep learning (fastText and transformer) based models to set the ground for future studies. The dataset and associated resources are publicly available: https://crisisnlp.qcri.org/humaid_ dataset.html
DOI: 10.17632/2tz83k5gxr.1
title: COVID-19 Infodemic Twitter dataset

description: This repository contains a dataset consisting of tweets annotated with fine-grained labels related to disinformation about COVID-19. The labels answer seven different questions that are of interests to journalists, fact-checkers, social media platforms, policymakers, and society as a whole. There are annotations for Arabic and English. To label the dataset, we prepared comprehensive annotation guidelines (https://arxiv.org/abs/2005.00033), which can help similar tasks in different domains. Moreover, we launched an annotation platform to label tweets, where anyone can contribute and help increase the size of the dataset, which we will be updating here periodically.