cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3765375
title: Linked COVID-19 Data: Ontology

description: Linked COVID-19 Data Ontology maintained at https://github.com/Research-Squirrel-Engineers/COVID-19 used in datasets 10.5281/zenodo.3757283 10.5281/zenodo.3757279
DOI: 10.5281/zenodo.3765952
title: Crohn's and Colits 360 CDACE

description: The present study describes a new capsule endoscopic scoring system for evaluation of small bowel Crohn’s Disease (CD), especially mucosal inflammation. The small bowel lesions were scored using Crohn’s Disease Activity in Capsule Endoscopy (CDACE). We analyzed the relation between CDACE and Lewis Score (LS), Capsule Endoscopic Crohn’s Disease Activity Index (CECDAI) and evaluated the inter-rater reliability of CDACE using the intraclass correlation coefficient (ICC) (2.1). CDACE correlated significantly with LS and CECDAI (ρ=0.737, p&lt;0.0001 and ρ=0.915, p&lt;0.0001). The ICC (2.1) was 0.829, indicating strong agreement among readers. CDACE is a potentially useful SBCE scoring system for small bowel CD.
DOI: 10.5281/zenodo.3765953
title: Crohn's and Colits 360 CDACE

description: The present study describes a new capsule endoscopic scoring system for evaluation of small bowel Crohn’s Disease (CD), especially mucosal inflammation. The small bowel lesions were scored using Crohn’s Disease Activity in Capsule Endoscopy (CDACE). We analyzed the relation between CDACE and Lewis Score (LS), Capsule Endoscopic Crohn’s Disease Activity Index (CECDAI) and evaluated the inter-rater reliability of CDACE using the intraclass correlation coefficient (ICC) (2.1). CDACE correlated significantly with LS and CECDAI (ρ=0.737, p&lt;0.0001 and ρ=0.915, p&lt;0.0001). The ICC (2.1) was 0.829, indicating strong agreement among readers. CDACE is a potentially useful SBCE scoring system for small bowel CD.
DOI: 10.17632/xpzt8rsxbc.1
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: By applying archive mobile cell data, we can visualise how real mobility patterns can contribute to the geographical spread of COVID-19 infection within a particular geographic space. The spatial component of airborne pathogens’ diffusion is limitedly analysed due to its excessive data demand. Professionals in the field of computational biology, epidemiology, signal processing, network science and especially spatially-focused social sciences can benefit from the visualisation of spatio-temporal mobility data. We presented a data procession method that can be useful for analysing and visualising raw mobile cell data, to provide easily comprehensible insights on mobility behaviour. By proper parameter setting, the model can provide an analytical framework for the investigation of geographic spreading of any kind of infections, which is conceived as a location network. Visualising mobility behaviour enables to quickly identify infection hubs, directions and volumes of spread and areas at risk, along with the spatio-temporal dynamics. Geographical component of mobile cellular data is registered, collected and processed all over the world, using similar technologies for data retrieval, which makes the analysis replicable.
DOI: 10.18112/openneuro.ds002336.v2.0.0
title: A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and MRI acquisition during a motor imagery neurofeedback task: XP1
DOI: 10.5281/zenodo.3766688
title: JCrashPack: A Java Crash Reproduction Benchmark

description: A Java Crash reproduction benchmark
description: {"references": ["Soltani, M., Derakhshanfar, P., Devroey, X. and van Deursen, A. (2020). A benchmark-based evaluation of search-based crash reproduction. In Empirical Software Engineering. 25, 1 (Jan. 2020), pp. 96\u2013138.", "Derakhshanfar, P., Devroey, X., Perrouin, G., Zaidman, A. and Van Deursen, A. (2020). Search-based Crash Reproduction using Behavioral Model Seeding. In Software Testing Verification and Reliability. 30, 3 (May 2020), e1733.", "Soltani, M., Derakhshanfar, P., Panichella, A., Devroey, X., Zaidman, A. and van Deursen, A. (2018). Single-objective Versus Multi-objectivized Optimization for Evolutionary Crash Reproduction. In: Search-Based Software Engineering (SSBSE '18). Montpellier, France: Springer."]}
DOI: 10.5281/zenodo.3765958
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3765959
DOI: 10.5281/zenodo.3765959
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3765959
DOI: 10.5281/zenodo.3765960
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3765961
DOI: 10.5281/zenodo.3765961
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3765961
DOI: 10.5281/zenodo.3766693
title: Supplementary Material for manuscript 'A Novel Adaptive Factor-based H∞ Cubature Kalman Filter for Autonomous Underwater Vehicle'

description: composed of simulation codes and experiment datas.
DOI: 10.5281/zenodo.3766694
title: Supplementary Material for manuscript 'A Novel Adaptive Factor-based H∞ Cubature Kalman Filter for Autonomous Underwater Vehicle'

description: composed of simulation codes and experiment datas.
DOI: 10.5281/zenodo.3765962
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3765963
DOI: 10.5281/zenodo.3765963
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3765963
DOI: 10.15468/2scrxa
title: A new anophthalmic trechine genus and two new species from southern Guizhou China (Coleoptera: Carabidae: Trechini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tian, Mingyi, Chen, Mengzhen, Ma, Zijun (2020): A new anophthalmic trechine genus and two new species from southern Guizhou China (Coleoptera: Carabidae: Trechini). Zootaxa 4766 (4): 575-587, DOI: 10.11646/zootaxa.4766.4.4
DOI: 10.21227/cy0t-f283
title: Dataset of Coronavirus Disease (COVID-19) Surveillance

description: As part of preparedness efforts in dealing with this, it is important for Indonesia to prepare guidelines for preparedness in dealing with COVID-19.
DOI: 10.5519/qd.0ho4vebc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/q5afzv
title: A new distribution record of Albunea groeningi (Crustacea: Anomura: Decapoda: Albuneidae) from the Digha Coast, West Bengal, India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yogesh Kumar, J. S., Boyko, Christopher B., Arun, G., Geetha, S., Raghunathan, C. (2020): A new distribution record of Albunea groeningi (Crustacea: Anomura: Decapoda: Albuneidae) from the Digha Coast, West Bengal, India. Zootaxa 4766 (4): 588-592, DOI: 10.11646/zootaxa.4766.4.5
DOI: 10.15468/q5mrrf
title: New records of family Hormathiidae (Cnidaria: Actiniaria) from Brazilian coast with description of Paraphelliactis labiata n. sp.

description: This dataset contains the digitized treatments in Plazi based on the original journal article De Melo, Yago A., Targino, Alessandra K. G., Gomes, Paula B. (2020): New records of family Hormathiidae (Cnidaria: Actiniaria) from Brazilian coast with description of Paraphelliactis labiata n. sp. Zootaxa 4766 (4): 557-574, DOI: 10.11646/zootaxa.4766.4.3
DOI: 10.17632/2r5g3c4zk8.1
title: Development and Evaluation of Astaxanthin as Nanostructure Lipid Carriers in Topical Delivery

description: The study is designed to formulate, optimize and evaluate Astaxanthin (ASTA) loaded nanostructured lipid carrier (NLC) with an aim to improve its stability, water solubility, skin permeability, retention, and reduce drug related side effects. ASTA was extracted from Haematococcus pluvialis. ASTA-NLC was formulated by the technique of melt emulsification - ultrasonic and optimized taking solid:liquid lipid ratio, total lipid:drug ratio, drug concentration, emulsifier types and amounts as independent variables with particle sizes (PS) and entrapment efficiency (EE) as dependent variables. The optimized formulation (N21) exhibited spherical surfaced stable nano particles of 67.4 ± 2.11 nm size and 94.3 ± 0.47% EE. Formulation N21 was then evaluated for its physiological properties, physicochemical properties, drug content, in vitro release and skin penetration and retention analysis. The ASTA-NLC was found to be non-irritating, homogenous and with excellent stability. In vitro release studies showed the cumulative release rate of NLC was 83.0 ± 3.44% at 48 h. The skin penetration and retention studies indicated NLC preparation had good properties in topical delivery. It can be concluded that NLC serves as a promising carrier for site specific targeting with better stability and skin penetration.
DOI: 10.17632/498cbmp395.1
title: Picking Apart Partisanship: Which Level of Government Should be Responsible for Addressing Climate Change?

description: Picking Apart Partisanship Replication Data
DOI: 10.17632/n5f3zcdg92.2
title: Seven dense MinLA instances with n in {12, 15, 16, 17, 20, 23, 30}

description: These are seven dense MinLA problem instances with n in {12, 15, 16, 17, 20, 23, 30}. They were introduced in: Amaral, A. R. S. A (2009) Mixed 0-1 linear programming formulation for the exact solution of the minimum linear arrangement problem. Optimization Letters, 3(4): 513-520. https://doi.org/10.1007/s11590-009-0130-0
DOI: 10.21227/f6w4-v195
title: Corona Virus (COVID-19) Geolocation-based Sentiment Data

description: This dataset contains the geolocation-based sentiment analysis data. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation is extracted from the tweets which mention anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". The longitude and latitude shared in this dataset are the exact ones. That means the user has shared his/her "point" location while tweeting. Learn more about Twitter geo objects from here. Schema of the data files: longitude, latitude, sentiment.I'll be sharing new files every day, and the files will be named period-wise. For example, april25-april27.* will contain longitude, latitude and sentiment data of the tweets that were tweeted between April 25, 2020, and April 27, 2020.The data is available in four formats: CSV, JSON, SQL and XML. I am sharing this data after receiving an enormous amount of requests from non-technical researchers. If you are someone who is quite comfortable with programming, JSON and databases, then use "Corona Virus (COVID-19) Tweets Dataset" and hydrate the IDs, and add the following condition within your streaming file.if data["coordinates"] is true; then use longitude, latitude = data["coordinates"]["coordinates"]
DOI: 10.5281/zenodo.3753253
title: Simulated Solar Spectra for Testing Stellar Activity Mitigation Strategies

description: Recent and upcoming stabilized spectrographs are pushing the frontier for Doppler spectroscopy to detect and characterize low-mass planets. Specifications for these instruments are so impressive that intrinsic stellar variability is expected to limit their Doppler precision for most target stars (Fischer et al. 2016). In order to realize their full potential, astronomers must develop new strategies for distinguishing true Doppler shifts from intrinsic stellar variability. Stellar variability due to starspots, faculae, and other rotationally-linked variability is particularly concerning, as the stellar rotation period is often included in the range of potential planet orbital periods. In order to robustly detect and accurately characterize low-mass planets via Doppler planet surveys, the exoplanet community must develop statistical models capable of jointly modeling planetary perturbations and intrinsic stellar variability. Towards this effort, we present simulations of extremely high-resolution solar-like spectra created with SOAP 2.0(Dumusque et al. 2014) that includes multiple evolving starspots to aid in developing and testing future statistical methods.
DOI: 10.5281/zenodo.3753254
title: Simulated Solar Spectra for Testing Stellar Activity Mitigation Strategies

description: Recent and upcoming stabilized spectrographs are pushing the frontier for Doppler spectroscopy to detect and characterize low-mass planets. Specifications for these instruments are so impressive that intrinsic stellar variability is expected to limit their Doppler precision for most target stars (Fischer et al. 2016). In order to realize their full potential, astronomers must develop new strategies for distinguishing true Doppler shifts from intrinsic stellar variability. Stellar variability due to starspots, faculae, and other rotationally-linked variability is particularly concerning, as the stellar rotation period is often included in the range of potential planet orbital periods. In order to robustly detect and accurately characterize low-mass planets via Doppler planet surveys, the exoplanet community must develop statistical models capable of jointly modeling planetary perturbations and intrinsic stellar variability. Towards this effort, we present simulations of extremely high-resolution solar-like spectra created with SOAP 2.0(Dumusque et al. 2014) that includes multiple evolving starspots to aid in developing and testing future statistical methods.
DOI: 10.17632/3zgsd5khvs.1
title: Dataset of traffic accidents involving animals on São Paulo state highways

description: These data show a survey of the highway military police reports concerning traffic accidents involving animals on highways of São Paulo state, Brazil, during 2010 to 2018 period. These data are a valuable tool to the scientific community better understand the annual number and severity of traffic accidents that occur due the presence of animals on the highways in São Paulo state; in addition to propose alternatives that can reduce these numbers.
DOI: 10.21227/9anj-0p64
title: Laporan Penelitian Dosen Yayasan: Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm

description: Coronavirus Disease 2019 (COVID-19) become a pandemic in Indonesia.
DOI: 10.5281/zenodo.3766456
title: Inventory of the sustainability methodologies, indicators and criteria of research projects funded by the European Union

description: Based on a screening in the CORDIS database and the experience of project partners, 16 projects were selected for analyses of their contributions regarding sustainability criteria and indicators.
description: One of the datasets underlying Deliverable 1.1 of the STAR-ProBio project
DOI: 10.5281/zenodo.3766457
title: Inventory of the sustainability methodologies, indicators and criteria of research projects funded by the European Union

description: Based on a screening in the CORDIS database and the experience of project partners, 16 projects were selected for analyses of their contributions regarding sustainability criteria and indicators.
description: One of the datasets underlying Deliverable 1.1 of the STAR-ProBio project
DOI: 10.5519/qd.04oipw86
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4544178 records)
DOI: 10.17632/c53rh2h435.3
title: Exploratory study of mental health among gamers in Gabon and Tunisia

description: Gaming has increasingly become a part of life in Africa. Currently, no data on gaming disorders or their association with mental disorders exist for African countries. This exploratory study investigates (1) the prevalence of insomnia, excessive daytime sleepiness, anxiety and depression among African gamers based in Gabon and Tunisia and (2) the association between these conditions and gamer types (i.e., non-problematic, engaged, problematic and addicted). The questionnaire could only be completed once by participants with the same email address, and duplicates and incomplete forms were discarded. Responses were collected in multiple sites based in nine African countries between November 2015 and June 2017 (Rwanda, Gabon, Cameroon, Nigeria, Morocco, Tunisia, Senegal, Ivory Coast and South Africa). Because of local restrictions related to the expiration of some ethical certificates, this dataset currently provides aggregate data from Gabon and Tunisia. Data contained aggregate information describing epidemiology of self-reported measures of insomnia (with the Insomnia Severity Index), excessive daytime sleepiness (with Epworth Sleepiness Scale), anxiety (with Hospital Anxiety and Depression Scale-A), depression (Hospital and Anxiety Depression Scale-D) and gaming disorder (with game addiction scale short form) between gamers in Tunisia and Gabon. The participants who formed this convenience sample were contacted by email. The online questionnaire included a consent form on the second page, following a description of the study in French and English. Consent was required to participate in this project. The average time to answer all questions was 20 minutes. Data available are as follow: mean hours of gaming per week, period from when the participant considered him or herself a gamer, type of device used for gaming purposes, age, sex, and category of gamers. The present research is a pilot investigation which documents sleep disorders, anxiety and depression among an African sample with a focus on gamers. It should be replicated with the general population with a longitudinal cohort study to understand the global picture of gaming disorder. Similarly, more attention should be brought to the sleep health of African populations. More research on gaming addiction needs to be performed in low- and middle-income countries where little is known about internet gaming disorder.
DOI: 10.18112/openneuro.ds002733.v1.0.0
title: Bids Pilot Project
DOI: 10.18112/openneuro.ds002737.v1.0.0
title: multibandCFtests
DOI: 10.21227/hvkf-h655
title: Laporan Penelitian Dosen Yayasan: Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm

description: Coronavirus Disease 2019 (COVID-19) become a pandemic in Indonesia.
DOI: 10.5281/zenodo.3765968
title: ZENODO TEST: ALE Variant Analysis data and scripts

description: ALE Variant Analysis data and scripts
DOI: 10.15468/am5jpz
title: Interesting new Chinese species of Leptoceridae and Odontoceridae (Insecta Trichoptera) from several recent collecting efforts

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yang, Lian-Fang, Hu, Ben-Jin, Morse, John C. (2020): Interesting new Chinese species of Leptoceridae and Odontoceridae (Insecta Trichoptera) from several recent collecting efforts. Zootaxa 4766 (4): 593, DOI: 10.11646/zootaxa.4766.4.6
DOI: 10.18112/openneuro.ds002744.v1.0.0
title: The brain of Chris
DOI: 10.21227/y678-7k75
title: Corona Virus (COVID-19) Geolocation-based Sentiment Data

description: This dataset contains the geolocation-based sentiment analysis data. The data is generated by an on-going project deployed at https://live.rlamsal.com.np. The geolocation is extracted from the tweets which mention anything about "corona", "covid-19", "coronavirus" or the variants of "sars-cov-2". The longitude and latitude shared in this dataset are "point" locations. In order to protect the privacy of users, only the longitude, latitude and the sentiment data have been shared. Learn more about Twitter geo objects from here. I'll be sharing new files every day, and the files will be named period-wise. For example, april25-april27.* will contain longitude, latitude and sentiment data of the tweets that were tweeted between April 25, 2020, and April 27, 2020.The data is available in four formats: CSV, JSON, SQL and XML. I am sharing this data after receiving an enormous amount of requests from non-technical researchers. If you are someone who is quite comfortable with programming, JSON and databases, then use "Corona Virus (COVID-19) Tweets Dataset" and hydrate the IDs, and add the following condition within your streaming file.if data["coordinates"] is true; then use longitude, latitude = data["coordinates"]["coordinates"]
DOI: 10.5281/zenodo.3765967
title: ZENODO TEST: ALE Variant Analysis data and scripts

description: ALE Variant Analysis data and scripts
DOI: 10.18112/openneuro.ds002338.v2.0.0
title: A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and MRI acquisition during a motor imagery neurofeedback task: XP2
DOI: 10.21227/p3r0-cb93
title: Laporan Penelitian Dosen Yayasan: Diagnosis of Coronavirus Disease 2019 (COVID-19) Surveillance Using C4.5 Algorithm

description: Coronavirus Disease 2019 (COVID-19) become a pandemic in Indonesia.
DOI: 10.5281/zenodo.3755337
title: Data set for validation of a Python script for computation of Protein-Ligand Interaction Fingerprints

description: Data set for for validation of the Protein-Ligand Interaction Finger prints, which includes examples of protein structures (original PDB and equilibrated) and molecular dynamics trajectories (equilibration and ligand dissociation generated using Random Acceleration MD simulations, RAMD) <pre><code>2YKI - protein-ligand complex , PDB ID 2YKI - 2yki_MOE.pdb complex with hydrogen added and energy minimized using MOE software (https://www.chemcomp.com/) - ligand_2yki_MOE.mol2 and ligand_2yki_MOE.pdb - ligand structure with hydrogens prepered by MOE software (https://www.chemcomp.com/) 6EI5 - MD trajectory of the protein-ligand complex generated from PDB ID 6EI5 - ref-min.pdb minimized structure - ref.prmtop topology file - moe.mol2 - ligand structure in mol2 format - amber2namd2.dcd generated MD trajectory The rest of the files contains data obtained from simulation of the complex of GPCR muscarinic receptor M2 (PDB ID:4MQT; immersed in a mixed membrane: 50% CHL, 30% POPC, 20% POPE) with a small molecule agonist iperoxo. - IXO.pdb and moe.mol2 - PDBand MOL2 structure of iperoxo - AMBER_eq.tar.gz - structure of the equilibrated complex generated using AMBER software - NAMD_eq.tar.gz - two equilibration trajectories in dcd format generated using NAMD software - RAMD_eq.tar.gz - dissociation tarjectoris of iprtoxo from the M2 protein generated from the last snapshot of two NAMD equilibration trajectories (for each case 2 RAMD dissociaiton trajectories are available) </code></pre>
DOI: 10.17632/nh6s9hk65s.1
title: New constraints on the timing of deformation in the Gangdese retroarc basin: Evidence from low-temperature themochronology study of Late Cretaceous Shexing Formation

description: Coordinates for AFT Samples of the Shexing Formation in Gangdese retroarc basin; correlation between eU and Rs and AHe ages; QTQt modeling results
DOI: 10.17632/nh6s9hk65s.2
title: New constraints on the timing of deformation in the Gangdese retroarc basin: Evidence from low-temperature themochronology study of Late Cretaceous Shexing Formation

description: Thermochronology data of the Late Cretaceous Shexing Formation