cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/h6wv-nt83
title: EEG data for ADHD / Control children

description: Participants were 61 children with ADHD and 60 healthy controls (boys and girls, ages 7-12). The ADHD children were diagnosed by an experienced psychiatrist to DSM-IV criteria, and have taken Ritalin for up to 6 months. None of the children in the control group had a history of psychiatric disorders, epilepsy, or any report of high-risk behaviors. EEG recording was performed based on 10-20 standard by 19 channels (Fz, Cz, Pz, C3, T3, C4, T4, Fp1, Fp2, F3, F4, F7, F8, P3, P4, T5, T6, O1, O2) at 128 Hz sampling frequency. The A1 and A2 electrodes were the references located on earlobes. The eye movement was recorded by two electrodes that were placed below and above the right eye. Since one of the deficits in ADHD children is visual attention, the EEG recording protocol was based on visual attention tasks. In the task, a set of pictures of cartoon characters was shown to the children and they were asked to count the characters. The number of characters in each image was randomly selected between 5 and 16, and the size of the pictures was large enough to be easily visible and countable by children. To have a continuous stimulus during the signal recording, each image was displayed immediately and uninterrupted after the child’s response. Thus, the duration of EEG recording throughout this cognitive visual task was dependent on the child’s performance (i.e. response speed).
DOI: 10.17632/2zywt7g3jf.1
title: CAMERA OBSCURA

description: Esta es una base de datos sobre la cámara oscura
DOI: 10.17632/4kf6j59sks.1
title: Data for: Can homo oecoomicus be an altruist?

description: These are supplementary materials for the paper titled "Can homo oeconomicus be an altruist?". We provide the data we collected during the classroom experiment as well as codes necessary for their analysis.
DOI: 10.5063/f1n8783d
title: Effects of forest fragmentation on feather corticosterone levels in an Amazonian avian community, Balbina, Amazonas, Brasil

description: In the Amazon, the construction of hydroelectric dams is an emergent driver of biodiversity loss, creating a large number of land-bridge islands, most of them unable to sustain an assemblage of bird species comparable to the intact forest. Although we understand the effects of forest fragmentation on species richness and distribution, we still need to uncover the physiological mechanisms underlying the success of organisms living in disturbed habitats. In this study, we used feather corticosterone levels as a measurement of physiological stress, evaluating whether corticosterone levels mirrored the effects of habitat fragmentation on species occurrence. Since data suggests that smaller islands can reduce habitat suitability, increasing stress in birds that live on them, we predicted that birds living in smaller islands would present increased feather corticosterone levels. We captured birds in 13 islands of varying size and two continuous forests and estimated feather corticosterone levels from 265 individuals from eight different species. Overall, our findings did not support the hypothesis that corticosterone varies in relation to island size, with the exception of Hypocnemis cantator, which presented the expected pattern: decreasing feather corticosterone levels with increasing island size. These differences suggest that species respond differently to stressors driven by fragmentation. Further studies are necessary to assess the reliability of corticosterone levels as a measurement of physiological stress and to determine which parameters are useful to understand how insularization caused by human activities may influence the resilience of avian populations to habitat disturbances.
DOI: 10.5063/f1hm56rj
title: Effects of forest fragmentation on feather corticosterone levels in an Amazonian avian community, Balbina, Amazonas, Brasil

description: In the Amazon, the construction of hydroelectric dams is an emergent driver of biodiversity loss, creating a large number of land-bridge islands, most of them unable to sustain an assemblage of bird species comparable to the intact forest. Although we understand the effects of forest fragmentation on species richness and distribution, we still need to uncover the physiological mechanisms underlying the success of organisms living in disturbed habitats. In this study, we used feather corticosterone levels as a measurement of physiological stress, evaluating whether corticosterone levels mirrored the effects of habitat fragmentation on species occurrence. Since data suggests that smaller islands can reduce habitat suitability, increasing stress in birds that live on them, we predicted that birds living in smaller islands would present increased feather corticosterone levels. We captured birds in 13 islands of varying size and two continuous forests and estimated feather corticosterone levels from 265 individuals from eight different species. Overall, our findings did not support the hypothesis that corticosterone varies in relation to island size, with the exception of Hypocnemis cantator, which presented the expected pattern: decreasing feather corticosterone levels with increasing island size. These differences suggest that species respond differently to stressors driven by fragmentation. Further studies are necessary to assess the reliability of corticosterone levels as a measurement of physiological stress and to determine which parameters are useful to understand how insularization caused by human activities may influence the resilience of avian populations to habitat disturbances.
DOI: 10.5281/zenodo.3272757
title: Model files for AI Matrix benchmarks

description: The model files for partial AI matrix benchmarks
DOI: 10.3886/e110601v1
title: Cognitive Styles and Collective Action

description: See the attached NarrativeDescription.pdf for a description of the project and methodology.<br>
DOI: 10.17632/xgbk37tk85.1
title: Data for: Dual-Response and Li+-Insertion Induced Phase Transition of VO2-based Smart Windows for Selective Visible and Near-Infrared Light Transmittance Modulation

description: Raman scattering measurements (Renishaw, in Via, λ = 532 nm) were conducted for phase identification. The thickness of the multilayer films were shown in cross-section micrographs by field-emission scanning electron microscope (FESEM, FEI Magellan 400). Lastly, UV/vis/NIR Spectrophotometer (Hitachi, UV-4100, ranging from 350 to 2600 nm) was used to characterize the transmittances spectra of the multilayer films with the scanning speed of 120nm/min.
DOI: 10.5519/qd.3b32vlfh
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (46 records)
DOI: 10.15151/esrf-es-186913068
title: Snapshots of viral genome replication by influenza polymerase using cryo-electron microscopy
DOI: 10.18738/t8/0utcs3
title: outtxt_bump_0065_baseline

description: outtxt_bump_0065_baseline
DOI: 10.17632/srxmkft849.1
title: Data for: Stopping Oral Steroid Sparing Agents at Initiation of Rituximab in Myasthenia Gravis

description: Data set 1.
DOI: 10.5281/zenodo.3273293
title: Model files for AI Matrix benchmarks

description: The model files for partial AI matrix benchmarks
DOI: 10.17632/d65m733xbd.1
title: Sentinel 2 data of Northern South China Sea used to detect plastic

description: The Sentinel 2 data (2019.01.25) for Northern South China Sea was downloaded from Sentinel open access hub of https://scihub.copernicus.eu/dhus/#/home.
DOI: 10.17632/s73x3fmbpr.1
title: Maize Yield Sensitivities for Nigeria

description: Yield data collated from the Global Yield Gap and Water Productivity Atlas (http://www.yieldgap.org/) were used to compute this sensitivity index. In the case of Nigeria yield data were available for the period between 2002 – 2010. The index was computed using the method described by Shi and Tao (2014). This method involves detrending (multiplicative detrending method) the yield data and this led to the generation of expected yield for each year. The index was then computed as the ration of expected Maize yield divided by the actual linear yield for this period. Detrending has been reported to aid the removal of the potential impact of technology, error in reporting and captures the variations in yield attributable to climate. The computed index can be linked to a GIS file (Shapefiles) availble from the Global Yield Gap and Water Productivity Atlas to create a visual representation of the index. High index value indicate high yield sensitivity.
DOI: 10.17632/w98b55yzk9.2
title: Sentinel 3 data of GPGP used to detect plastic

description: The Sentinel 3 data for Great Pacific Garbage Patch area was downloaded from the CREODIAS data portal of https://finder.creodias.eu/.
DOI: 10.7910/dvn/voqchq/lk4xsk
title: countypres_2000-2016.tab

description: :unav
DOI: 10.17632/784tzvwwx8.1
title: U-Actinides

description: This data include the linear response calculation of the effective Coulomb interaction in actinides and the DFT+U calculation of bulk properties of actinide metal.
DOI: 10.17632/r2gfzjcfsd.5
title: Over-dispersed Count data for number of journal articles published by university lecturers

description: The data set contain counts of number of articles published by Covenant University Lecturers, in Ota, Ogun State, Nigeria. Being a sample of 126 lecturers; 99 from College of Business and Social Sciences, and 27 from College of Leadership of number of articles published by the lecturers from 2013-2015. The response variable was the number of article produced by lecturer (NOP) which was obtained by counting. Predictors are Gender of lecturers (SEX), male was coded 1, and female as 0, marital status (MS), married was coded as 1 and single as 0, number of child(ren) of lecturer, (CHD), years of teaching/lecturing (EXP), cadre indicating whether senior or junior lecturer, Assistant lecturer and lecturer II were categorized as Lower cadre, and coded as 0, while lecturer I up to professor were categorized as higher cadre, and coded as 1. Another predictor is number of undergraduate course(s) taught within the period of observation (UGC), and number of postgraduate course(s) taught within the period of observation (UPC)..
DOI: 10.17632/3kksgs4zc2.1
title: CIPN_NCKUH_2019

description: A data set for establishing a simplified diagnostic criteria of chemotherapy induced peripheral neuropathy.
DOI: 10.17632/cd9t7rg6fc.1
title: RNAi-Mediated Silencing of ITPK Gene Reduces Phytic Acid Content

description: Revision of RNAi-Mediated Silencing of ITPK Gene Reduces Phytic Acid Content
DOI: 10.17632/t9hzyd5jrv.2
title: Naa10p Inhibits Beige Adipocyte-mediated Thermogenesis through N-α-acetylation of Pgc1α. Lee et al

description: Original data of western and picture
DOI: 10.17632/9jvh8ckjbw.1
title: Data Enrichment for Machine Learning based Energy Prediction Model

description: This dataset is used for training of component based machine learning models described in the linked article. The article examines the effect of enriching training data with several building shapes on the prediction accuracy of machine learning models. There are nine building shapes used to collect the training data using EnergyPlus. Please read the article for the relevant details of component structure and training of machine learning models.
DOI: 10.5281/zenodo.3271452
title: Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method

description: This dataset contains a GitHub repository containing all the data, analysis, Nextflow workflows and Jupyter notebooks to replicate the manuscript titled "Fast and accurate large multiple sequence alignments with a root-to-leaf regressive method". It also contains the Multiple Sequence Alignments (MSAs) generated and well as the main figures and tables from the manuscript. The repository is also available at GitHub (https://github.com/cbcrg/dpa-analysis) release `v1.2`. For details on how to use the regressive alignment algorithm, see the T-Coffee software suite (https://github.com/cbcrg/tcoffee).
DOI: 10.5281/zenodo.3272775
title: Binary black-hole simulation SXS:BBH:1144

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3272782
title: Binary black-hole simulation SXS:BBH:1145

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3273290
title: DWD European Weather 2

description: opendata.dwd.de - OpenData by Deutscher Wetter Dienst Conditions: https://www.dwd.de/EN/service/copyright/copyright_node.html dates and times are UTC.
DOI: 10.17632/hnfsmjzyxz.3
title: The Emergence and Evolution of Master Terms in the Public Debate about Livestock Farming: Semantic Fields, Communication Strategies and Policy Practices_Plofkip (booster-broiler) and Megastal (mega-stable)

description: Data referred to in The Emergence and Evolution of Master Terms in the Public Debate about Livestock Farming: Semantic Fields, Communication Strategies and Policy Practices. News media, social media data and policy debates and documents of two cases in Dutch livestock farming: booster-broiler (plofkip) and mega-stable (megastal)
DOI: 10.17632/yk5pws5dx5.1
title: Data for: Validation of a Uniaxial Structure-Borne Sound Benchmark With Emphasis on Power and Phase Accuracy

description: Data in order to reproduce the benchmark of the associated publication "Validation of a Uniaxial Structure-Borne Sound Benchmark with Emphasis on Power and Phase Accuracy". The dataset contains: 1. Geometry data The geometry of the single parts of the benchmark structure provided as STEP-files. 2. FE data ASCII FE representation for the benchmark (SIMULIA Abaqus input file syntax) 3. Measurement data Data files containing the results of the measurements, which were used for generating the Figures contained in the publication
DOI: 10.25919/5d242b0be3384
title: Mining Blockchain Processes: CryptoKitties Case Study

description: This collection comprises the manifest and the two generated XES logs from the case study in [1]. The manifest specifies which data related to the execution of the CryptoKitties smart contracts was retrieved from the transaction log of the public Ethereum blockchain. The manifest also specifies how this data was transformed into the two XES logs. Details regarding the approach to extracting XES logs from the Ethereum blockchain and the case study are provided in [1]. For more information on the XES standard see http://www.xes-standard.org. [1] Klinkmüller, C., Ponomarev, A., Tran, A., Weber, I., and van der Aalst, W.: "Mining Blockchain Processes: Extracting Process Mining Data from Blockchain Applications", Blockchain Forum at BPM 2019.
DOI: 10.5281/zenodo.3272780
title: Binary black-hole simulation SXS:BBH:1141

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3272781
title: Binary black-hole simulation SXS:BBH:1142

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.17632/fv8bz3tg8p.1
title: Data for: Anti-inflammatory Potential of South African Medicinal Plants used in the Treatment of Sexually Transmitted Infections

description: The dataset represents biological assays, conducted to determine the inhibitory activity of extracts from 12 South African medicinal plants on selected inflammatory enzymes, as well as their ability to reduce nitric oxide production, in response to inflammatory stimulation with lipopolysaccharide (LPS) in macrophage cells. The viability of macrophage cells and confirmation of cytotoxicity status of active extracts was done on Vero cells using the MTT assay. Results of antioxidant scavenging capacity of extracts are also presented. NMR spectroscopic data are presented as mestronova files while the amount of phenolic and flavonoid contents in the extracts were determined from a calibration curve of gallic acid and quercetin as shown in the data set. All experiments were carried out according to standard protocols as described in the full article.
DOI: 10.5281/zenodo.3272783
title: Binary black-hole simulation SXS:BBH:0311

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5063/f1s180s8
title: A systematic review of green infrastructure effects on urban ecosystems

description: Global urbanization continues unabated, with more than 50% of the worlds’ population living in cities. Cities are conventionally viewed as a threat to local biodiversity because natural habitat is replaced with development. However, more recently, there is greater acknowledgement from the public and private sectors that supporting local environments sustains critical ecosystem services, which in turn improves human health and biodiversity conservation. Consequently, urban planning and design has shifted towards green infrastructure (GI), such as green roofs and retention ponds, to increase connections between city and nature in an era of climate change. The contribution of GI to some ecosystem services has been proven (e.g. stormwater management, building cooling), but the contribution to biodiversity conservation remains unspecified. Using a systematic literature review, this dataset is an aggregation of studies that have measured community composition of urban ecosystems in association with green infrastructures.
DOI: 10.5281/zenodo.3255047
title: FitHiChIP: Identification of significant chromatin contacts from HiChIP data

description: FitHiChIP is a computational method for identifying chromatin contacts among regulatory regions such as enhancers and promoters from HiChIP/PLAC-seq data. <strong>Functionalities</strong> of FitHiChIP include: 1) Calling significant interactions / loops / contacts from a HiChIP / PLAC-seq data 2) Identifying peaks (enriched segments) from a HiChIP data (i.e. HiChIP peak caller) 3) Finding differential loops among non-differential loci between two different categories of HiChIP samples, each with one or more replicates. <strong>GitHub page</strong>: github.com/ay-lab/FitHiChIP <strong>Documentation</strong>: https://ay-lab.github.io/FitHiChIP/ <strong>Citation</strong>: Please check the above documentation regarding citation of FitHiChIP About this repository: All the data and results provided here correspond to the published manuscript. The file <strong>Data_Summary.xlsx</strong> summarizes for each figure, corresponding tables storing the related datasets.
DOI: 10.5281/zenodo.3274226
title: Combat-TB-NeoDB: fostering Tuberculosis research through integrative analysis using graph database technologies.

description: NeoDB is a free and open source integrated M.tuberculosis ‘omics’ knowledge-base. NeoDB is based on Neo4j and enables researchers to execute complex federated queries by linking well-known, curated and widely used biological data resources, and supplementary TB variants data from published literature. Documentation can be found at https://combat-tb-db.readthedocs.io
DOI: 10.5523/bris.udkszetrifdl2f3aztxw1da4r
title: Criegee Intermediate plus acetone reaction kinetics

description: Data for NERC funded project NE/P013104/1: Kinetic Studies of Reactive Intermediates from the Oxidation of Atmospheric Alkenes.
DOI: 10.17632/c7tv32dmdb.1
title: Autorizações de Procedimentos Ambulatoriais (APAC) para medicamentos especializados no Distrito Federal

description: Arquivo consolidado com os registros públicos de autorizações de Autorizações de Procedimentos Ambulatoriais (APAC) de medicamentos especializados do Distrito Federal no ano 2017 no Sistema Único de Saúde
DOI: 10.17632/fsy7m755g6.1
title: Engagement in Mobile and Wearable Health Monitoring for Bipolar Disorder

description: We studied engagement in mobile and wearable health monitoring for individuals with bipolar disorder. Four hypotheses were identified prior to study start: (1) participants have equal preference for the app as the Fitbit; (2) participants have equal overall adherence to the app as the Fitbit; and adherence rates were equal between study arms for the (3) Fitbit and (4) app.
DOI: 10.17632/r5tbz5j34p.1
title: Persistent Gamma Spiking in SI Nonsensory Fast Spiking Cells Predicts Perceptual Success. Shin & Moore
DOI: 10.21421/d2/9rn6nh
title: Heterotic grouping of Sorghum germplasm collection into their specific maturity group

description: Collection of Nigerian Kaura and Fara Fara sorghum landraces characterized for grain and seed qualities, height and flowering responses in Nigeria, to assess the germplasm capacity to serve as seed parent for hybrid sorghum development Experiment location on Google Map
DOI: 10.17632/g74m3x5xks.1
title: Supplementary Montney Predictive Modeling Data
DOI: 10.5281/zenodo.3274253
title: Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale

description: This package contains the gridded yield data for lignocellulosic bioenergy crops developed from a global yield observation dataset using a random forest algorithm based on climatic and soil conditions. The data are global yield maps of five important lignocellulosic bioenergy crops (eucalypt, Miscanthus, poplar, switchgrass and willow) under current technology, climate and atmospheric CO<sub>2</sub> conditions at a 0.5° × 0.5° spatial resolution. A combined “best bioenergy crop” yield map is also provided by selecting the one of the five crop types with the highest yield in each of the grid cell. The yield unit is “ton DM ha<sup>-1</sup> yr<sup>-1</sup>”. Please see more details in the associated paper on ESSD.
DOI: 10.5523/bris.19va21gun3c7629f291kmd6w37
title: Data from Quantum algorithms for CSPs (07-2019)

description: Quantum algorithms can deliver asymptotic speedups over their classical counterparts. However, there are few examples known where a substantial quantum speedup has been worked out in detail for reasonably-sized problems, when compared with the best classical algorithms and taking into account realistic hardware parameters and overheads for fault-tolerance. All known examples of such speedups correspond to problems related to simulation of quantum systems and cryptography. In this project we apply general-purpose quantum algorithms for solving constraint satisfaction problems to two families of prototypical NP-complete problems: boolean satisfiability and graph colouring. We consider two quantum approaches: Grover's algorithm and a quantum algorithm for accelerating backtracking algorithms. The data stored in the repository is numerical results from computational experiments, as well as corresponding source code.
DOI: 10.17632/7hnbgpkdc7.1
title: Exposure Index for Maize yield vulnerability Modelling for Nigeria

description: Exposure capture factors which could be manifested in the magnitude and intensity of long-term changes in climate (Intergovernmental Panel on Climate Change, 2007) and in this context factors with impact on agricultural production. Temperature and rainfall were used to capture the extent to which Maize is exposed to climate change. Data was sourced from the Centre for Environmental Data Analysis (CRU TS release 4), with data extracted for 1941 - 2015. The data were processed within R (Version 3.4.2), within this environment the mean (temperature and rainfall) for northern and southern parts of the country were computed. The growing season for Maize in the north spans from May to September while in the south it starts from March and ends in August (FAO, 2018). Furthermore, long (1941 – 2015) and short (1961 – 2015) term averages for the respective growing season were computed for each of the regions. Following the computation of the long and short-term averages, exposure was computed as the ratio of the long-term to the short-term averages. With exposure index for rainfall and temperature computed separately, the two were added to get the combined exposure index. A high value indicates high exposure to climate variability. In this dataset, the exposure index is presented in raster format (Geotiff) to allow for easy processing across GIS software. In addition, the boundaries of the northern and the southern regions were also included as shapefiles.