cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cu.the.2012.329
title: Inclusive education policy for people with disabilities in Yangon, Myanmar

description: This research is intended to find out the challenges of education for people with disabilities (PWDs) in Myanmar and the factors that undermine the education development opportunity for them in Myanmar. The objectives of this research are to analyze the concept of inclusive education (IE) and its policy framework and implementation in Myanmar, to assess the government's and stakeholders’ perceptions on inclusive education, to identify problems of accessibility to education faced by PWDs, and to identify an appropriate design of IE for children with disabilities (CWDs). It was designed to cover all types of CWDs in the primary and lower secondary school level in Yangon Division. This research uses qualitative method in order to understand the actual situations or phenomenon. Primary data was gathered from individual and group interviews with the responsible officers of the concerned departments, teachers from formal and special schools, Non-Governmental Organizations, CWDs and their parents in August, 2012. Secondary data collection includes government’s IE policy and the impact of its strategies, and a review of the International norms of IE. The findings of this research exhibit that the IE policy for PWDs does not yield expected results. PWDs only have benefited a little from the policy rhetoric. There are a number of reasons namely societal negative attitudes, trainings for teachers on disability issues, and inaccessible school environment. Particularly, children with intellectual/seeing/hearing disabilities will need individualized and special education designs for which a lot of improvement must be made. This only indicates that the idea of IE, where CWDs learn in the same class as other students, might not be appropriate to Myanmar, where the government cannot support with relevant facilities. In particular, the society where economic vulnerability is still prevailing IE has become only rhetoric. Myanmar will have to seek other alternatives that integrate the role of community, family and civil society organizations in appropriate local resources to increase a broader opportunity for basic education for the excluded PWDs.
DOI: 10.14457/cu.the.2012.330
title: The effects of interface factors and store environment on consumers’ purchase and revisit intention in an online virtual reality store

description: Electronic commerce (e-commerce) has become a fast emerging industry and a significant global economic force. Virtual reality commerce (vr-commerce), where traditional e-commerce and traditional offline commerce are converged, is a promising technology and becoming more popular but there is still lack of research on relationships between principal functional and non-functional interface factors toward consumers’ purchase and revisit intention in an online VR store. This study employed laboratory survey for data collection and structural equation modeling for data analyses. The results from this research suggest that all identified foundation factors, namely web quality, telepresence and store environment, significantly drive consumers’ purchase and revisit intention. Web quality and telepresence factors contribute more than store environment. Web quality could induce informativeness and perceived usefulness; telepresence could induce perceived usefulness, informativeness and enjoyment; and store environment can induce consumers’ perceived usefulness and enjoyment. It is expected that the research will be a major theoretical piece to fill in the literature gap in VR-commerce by proving a complete and parsimonious framework and a major contribution in the practical arena by providing a concrete guidelines for practitioners in VR store.
DOI: 10.15129/15320086-a8e9-464d-b428-4d3f1dbe1158
title: KB characterisation using OASYS

description: The data set contains the raytracing OASYS simulations files which was used to simulate the Kirkpatrick-Baez Microscope.
DOI: 10.26300/1tk0-c189
title: Data from "Intra‐ and inter‐individual differences in human sperm DNA methylation"
DOI: 10.5281/zenodo.3374049
title: HTTP Dataset 02 for Experimenting on Service-Oriented Computing

description: The dataset was generated based on recording the traffic targeted to Twitter REST service.
DOI: 10.25386/genetics.9343232
title: Supplemental Material for Brothers and Rine, 2019

description: File S1 contains supplementary materials and methods. Table S1 contains details about the yeast strains used in this study. Table S2 contains the plasmids used in this study. Table S3 contains oligonucleotides used in this study. Figure S1 contains RT-qPCR results for <i>CRE </i>transcript levels in <i>POL30 </i>mutants.
DOI: 10.25386/genetics.9343232.v1
title: Supplemental Material for Brothers and Rine, 2019

description: File S1 contains supplementary materials and methods. Table S1 contains details about the yeast strains used in this study. Table S2 contains the plasmids used in this study. Table S3 contains oligonucleotides used in this study. Figure S1 contains RT-qPCR results for <i>CRE </i>transcript levels in <i>POL30 </i>mutants.
DOI: 10.5066/p998d45n
title: Capture histories and tag retention of acoustic-tagged green (Chelonia mydas) and hawksbill (Eretmochelys imbricata) sea turtles, Buck Island Reef National Monument, U.S. Virgin Islands, 2012-2017

description: This dataset contains the capture histories for juvenile green (Chelonia mydas) and hawksbill (Eretmochelys imbricata) sea turtles tagged with an acoustic telemetry tag between 2012 and 2017. It contains information on how many days had passed since the tag was attached and whether or not the tag was still attached upon recapture. This dataset thus allows estimation of acoustic tag retention rates for these two species of sea turtle in our study site at Buck Island Reef National Monument (BIRNM), St. Croix, U.S. Virgin Islands (USVI).
DOI: 10.5281/zenodo.3377906
title: Revoked

description: <strong>PAPER ABSTRACT</strong>
DOI: 10.5281/zenodo.3378309
title: TESS-MAY-2019

description: Measurements taken by the European Photometer Network (Project STARS4ALL). May 2019
DOI: 10.5281/zenodo.3378310
title: TESS-MAY-2019

description: Measurements taken by the European Photometer Network (Project STARS4ALL). May 2019
DOI: 10.5061/dryad.fc8j47n/1
title: Dryad Item 10.5061/DRYAD.FC8J47N/1

description: (:tba)
DOI: 10.5061/dryad.fc8j47n/2
title: Dryad Item 10.5061/DRYAD.FC8J47N/2

description: (:tba)
DOI: 10.5281/zenodo.3378116
title: Titulo

description: Tutorial
DOI: 10.5061/dryad.84q3757/1
title: Dryad Item 10.5061/DRYAD.84Q3757/1

description: (:tba)
DOI: 10.5061/dryad.84q3757/2
title: Dryad Item 10.5061/DRYAD.84Q3757/2

description: (:tba)
DOI: 10.5061/dryad.84q3757/3
title: Dryad Item 10.5061/DRYAD.84Q3757/3

description: (:tba)
DOI: 10.5061/dryad.84q3757/4
title: Dryad Item 10.5061/DRYAD.84Q3757/4

description: (:tba)
DOI: 10.5061/dryad.kk42rq5/1
title: Dryad Item 10.5061/DRYAD.KK42RQ5/1

description: (:tba)
DOI: 10.5281/zenodo.3369688
title: Annotation for human genomic variation during the BMP4-induced conversion from embryonic stem cells to trophoblast by bone

description: Whole genomic data of three cell lines were sequenced. These three cell lines are two hESC lines (H1 & H9) by invasion assays and iPSC cell line MRucR. These three cell lines are two hESC lines (H1 & H9) by invasion assays and iPSC cell line MRucR. Paired-end DNA libraries were prepared according to manufacturer’s instructions (Illumina Truseq Library Construction). And then, valid sequencing data is mapped to the reference genome (UCSC hg19) by Burrows-Wheeler Aligner (BWA) software. Reads that aligned to genomic regions were collected for mutation identification and subsequent analysis. Samtools mpileup and bcftools are used to do variant calling and identify SNP, indels. Control-free (Boeva V et al.2012) is utilized to do CNV detection. And BreakDancer (Chen K et al.2009) is applied to detect SV information. And, Single nucleotide variant (SNV) and small somatic insertions and deletions (indels) were identified using Strelka2.
DOI: 10.5281/zenodo.3369689
title: Annotation for human genomic variation during the BMP4-induced conversion from embryonic stem cells to trophoblast by bone

description: Whole genomic data of three cell lines were sequenced. These three cell lines are two hESC lines (H1 & H9) by invasion assays and iPSC cell line MRucR. These three cell lines are two hESC lines (H1 & H9) by invasion assays and iPSC cell line MRucR. Paired-end DNA libraries were prepared according to manufacturer’s instructions (Illumina Truseq Library Construction). And then, valid sequencing data is mapped to the reference genome (UCSC hg19) by Burrows-Wheeler Aligner (BWA) software. Reads that aligned to genomic regions were collected for mutation identification and subsequent analysis. Samtools mpileup and bcftools are used to do variant calling and identify SNP, indels. Control-free (Boeva V et al.2012) is utilized to do CNV detection. And BreakDancer (Chen K et al.2009) is applied to detect SV information. And, Single nucleotide variant (SNV) and small somatic insertions and deletions (indels) were identified using Strelka2.
DOI: 10.5281/zenodo.3377988
title: Supplementary Materials for: A Comprehensive Cohort Analysis Comparing Growth and GH Therapy Response in IGF1R Mutation Carriers and SGA Children

description: Supplemental Tables and Figures for the clinical research article: <strong>A Comprehensive Cohort Analysis Comparing Growth and GH Therapy Response in IGF1R Mutation Carriers and SGA Children</strong>
DOI: 10.5281/zenodo.3378119
title: TutoTestTuto/tutorial: Titulo

description: Tutorial
DOI: 10.5281/zenodo.3378120
title: TutoTestTuto/tutorial: Titulo

description: Tutorial
DOI: 10.5281/zenodo.3378318
title: Pn travel time data of Central and North China

description: Pn travle time data of the Central and North China. The ten numbers in each line are the year, month, and day of event, the longitude, latitude, and depth of event, the longitude, latitude, and elevation of station, and Pn travle time.
DOI: 10.5281/zenodo.3378319
title: Pn travel time data of Central and North China

description: Pn travle time data of the Central and North China. The ten numbers in each line are the year, month, and day of event, the longitude, latitude, and depth of event, the longitude, latitude, and elevation of station, and Pn travle time.
DOI: 10.6092/unibo/amsacta/6215
title: PERCEIVE. WP1. Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries. Task1.2. Focus group with Cohesion Policy practitioners

description: The data set consists of transcripts of interviews to practitioners, beneficiaries and targets of the Cohesion Policy projects in the selected case-study regions of seven different countries (Austria, Italy, Poland, Romania, Spain, Sweden, United Kingdom). Interviewees are asked to provide their views and perceptions on the multilevel governance system, on the communication activities of the Operational Programmes and on the effectiveness of Cohesion Policy. The issues related to the governance schemes in the selected case-study regions were addressed in focus groups with practitioners of Cohesion Policy programmes. Between February and March 2017, eight focus groups were organised by partners of the PERCEIVE consortium with the only exception of WU Vienna who organised in-depth interviews. UNIBO, leader of the Work Package, provided a semi-structured questionnaire that was designed to explore the multilevel governance system, the communication strategies and the policy effectiveness as perceived by the practitioners. The aims of the questionnaire, in regards to governance, were to collect qualitative information about the strengths and weaknesses of the governance model adopted by each of the case-study MAs. In order to grasp the multitude and the complexity of the issues involved, invitations were sent to both internal and external members of the MAs. This assembled a panel of directors and managers from the MAs, relevant stakeholders of the CP programmes and beneficiaries. The questionnaire was designed in such a way that all participants could be able to answer to all the questions throughout the entire focus group, regardless of their affiliations, to ensure that the focus group could generate a fruitful discussion between the participants. The Austrian case is an exception because, in conformity with the confidentiality agreement based on the Austrian Data Protection Act, the transcripts of the interviews must not be made publically available, reproduced, or distributed in any way.
DOI: 10.5066/p91hl91c
title: Major- and Trace-Element Chemical Analyses of Rocks from the Northern Harrat Rahat Volcanic Field and Surrounding Area, Kingdom of Saudi Arabia

description: This dataset includes X-ray fluorescence (XRF) major-oxide and trace-elements analysis and inductively coupled plasma-mass spectrometry (ICP-MS) trace-element analysis of Cenozoic, mainly Quaternary, basalts, hawaiites, mugearites, benmoreites, and trachytes from the northern third of the Harrat Rahat volcanic field and surrounding area in the Kingdom of Saudi Arabia. These samples were collected and analyzed to support geologic mapping of the volcanic field and reconstruction of its volcanic history as part of a collaborative project between the Saudi Geological Survey (SGS) and the U.S. Geological Survey (USGS), supported by the Kingdom of Saudi Arabia. Chemical analyses were performed at the GeoAnalytical Laboratory of Washington State University in Pullman, Washington, USA under contract with the USGS. Secondary minerals consisting mainly of zeolites, sulfates, and carbonates are present in pores in many of the collected rocks, and their abundances were reduced or eliminated prior to chemical analysis by hand-picking, followed by soaking rock chips in hot deionized water, and then extended ultrasonication in deionized water. Chemical compositions were further screened to exclude samples with original analytical totals of less than 94 weight percent, yielding a total of 691 samples with acceptable analyses presented in this data release, along with their sample names (called "Stations"), locations as easting and northing (in WGS1984 UTM Zone 37N), stratigraphic abbreviations (called "StratCode") defined in an associated geologic map, XRF and ICP-MS analyses, and other published references.
DOI: 10.25919/5d649b501e70c
title: Parkes observations for project P574 semester 2019APRS_06

description: We request time to observe 260 pulsars on a regular basis to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The primary science goals are to increase the number of known gamma-ray pulsars (both radio loud and radio quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to investigate: neutron stars and pulsar emission via detecting glitches and determining pulse timing parameters; and the ISM via measuring and monitoring dispersion measures, Faraday rotation measures, and scintillation. To date, we are (co-)authors on 75 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Manchester, Oxford, Stanford, and Swinburne.
DOI: 10.5281/zenodo.2702758
title: IEEE-30 energy system data of multi-period market with intertemporal constraints

description: This is the dataset that is used for the original article: "Locational marginal pricing in multi-period AC OPF environment" The dataset consists of the following files Case1.zip Case2.zip Case3.zip case_modifications.py data_spec.py OPF_formulation.pdf Multiperiod AC OPF is given in OPF_formulation.pdf. Modifications of traditional IEEE 30-node case are given in case_modifications.py The case files incorporate input and output multiperiod AC OPF and LMP decomposition data in csv and pickle formats. Data structure of case files is given in data_spec.py. For python users pickle files are given. Nevertheless, python environment is not required. Specification can be read as a text file. All necessary data are repeated in csv format. Step 1 are to define LMPs of limited energy resources or storage resources that are formed by actual marginal resources from all time periods (first LMP definition in fig. 6 in the paper). Step 2 are to define all other LMPs at price-taking nodes (second LMP definition in fig. 6 in the paper). The following interrelation between Lagrange multipliers, LMP components, and price-bonding factors holds true: <pre>assert np.max(np.abs(output_ramp.sensitivities.dot(output_ramp.offer_gen_data.price).tolist() - output_ramp.ramping_gen_data.price)) &lt; 1e-2 if output_pt_step1.components.shape[0]: step1_pf_filter = (~output_pf.is_limited_energy) & (~output_pf.is_storage) assert np.max(np.abs(output_pt_step1.components.node_price - (output_pt_step1.components.f + output_pt_step1.components.tc_sum + output_pt_step1.components.vc_sum))) &lt; 1e-2 assert (output_pt_step1.components.f - output_pt_step1.w_f.dot(output_pf.node_price[step1_pf_filter])).abs().max() &lt; 1e-2 assert (output_pt_step1.components.tc_sum - pd.concat( (w.dot(output_pf.offer_price[step1_pf_filter]) for w in output_pt_step1.w_tc_list), axis=1 ).sum(axis=1)).abs().max() &lt; 1e-2 assert np.max(np.abs(output_pt_step2.components.node_price - (output_pt_step2.components.f + output_pt_step2.components.tc_sum + output_pt_step2.components.vc_sum))) &lt; 1e-2 assert (output_pt_step2.components.f - output_pt_step2.w_f.dot(output_pf.node_price)).abs().max() &lt; 1e-2 assert (output_pt_step2.components.tc_sum - pd.concat( (w.dot(output_pf.offer_price) for w in output_pt_step2.w_tc_list), axis=1 ).sum(axis=1) ).abs().max() &lt; 1e-2</pre>
DOI: 10.5281/zenodo.2702759
title: IEEE-30 energy system data of multi-period market with intertemporal constraints

description: This is the dataset that is used for the original article: "Locational marginal pricing in multi-period AC OPF environment" The dataset consists of the following files Case1.zip Case2.zip Case3.zip case_modifications.py data_spec.py OPF_formulation.pdf Multiperiod AC OPF is given in OPF_formulation.pdf. Modifications of traditional IEEE 30-node case are given in case_modifications.py The case files incorporate input and output multiperiod AC OPF and LMP decomposition data in csv and pickle formats. Data structure of case files is given in data_spec.py. For python users pickle files are given. Nevertheless, python environment is not required. Specification can be read as a text file. All necessary data are repeated in csv format. Step 1 are to define LMPs of limited energy resources or storage resources that are formed by actual marginal resources from all time periods (first LMP definition in fig. 6 in the paper). Step 2 are to define all other LMPs at price-taking nodes (second LMP definition in fig. 6 in the paper). The following interrelation between Lagrange multipliers, LMP components, and price-bonding factors holds true: <pre>assert np.max(np.abs(output_ramp.sensitivities.dot(output_ramp.offer_gen_data.price).tolist() - output_ramp.ramping_gen_data.price)) &lt; 1e-2 if output_pt_step1.components.shape[0]: step1_pf_filter = (~output_pf.is_limited_energy) & (~output_pf.is_storage) assert np.max(np.abs(output_pt_step1.components.node_price - (output_pt_step1.components.f + output_pt_step1.components.tc_sum + output_pt_step1.components.vc_sum))) &lt; 1e-2 assert (output_pt_step1.components.f - output_pt_step1.w_f.dot(output_pf.node_price[step1_pf_filter])).abs().max() &lt; 1e-2 assert (output_pt_step1.components.tc_sum - pd.concat( (w.dot(output_pf.offer_price[step1_pf_filter]) for w in output_pt_step1.w_tc_list), axis=1 ).sum(axis=1)).abs().max() &lt; 1e-2 assert np.max(np.abs(output_pt_step2.components.node_price - (output_pt_step2.components.f + output_pt_step2.components.tc_sum + output_pt_step2.components.vc_sum))) &lt; 1e-2 assert (output_pt_step2.components.f - output_pt_step2.w_f.dot(output_pf.node_price)).abs().max() &lt; 1e-2 assert (output_pt_step2.components.tc_sum - pd.concat( (w.dot(output_pf.offer_price) for w in output_pt_step2.w_tc_list), axis=1 ).sum(axis=1) ).abs().max() &lt; 1e-2</pre>
DOI: 10.5281/zenodo.3378727
title: TESS-JUNE-2019

description: Measurements taken by the European Photometer Network (Project STARS4ALL). June 2019
DOI: 10.7910/dvn/cmqymo/9cygz5
title: KARLA-GODOY-AD-UFPE-2019.R

description: :unav
DOI: 10.7910/dvn/cmqymo/wyl2cn
title: karla-godoy-ad-ufpe-2019.tab

description: :unav
DOI: 10.17632/s3wx7tyhhh.1
title: Data for: Evidence for metacognitive bias in perception of voluntary action

description: The file AllParticipants_BehavData.mat contains the trial by trial data of each participant in a matlab format. The file contains the matrix AllData with dimension 540 (trials) x 16 (data points) x 25 (participants). The variable ColumnNames contains the information regarding the data points corresponding to each column of the AllData matrix. The file ALLParticipants_MovData2.mat contains the trial by trial movement of each participant in a matlab format. The file contains the matrix MovDataX and MovDataY which respectively code for the x and y dimensions of each movement. Each matrix is 30224 (time-points) x 180 (trials) x 3 (condition) x 25 (participant). The matrix AllDataMov 180 (trials) x 15 (data points) x 3 (condition) x 25 (participant) provides the corresponding information for each trial, the list of data-points being explained in the variable ColumnNames.
DOI: 10.5281/zenodo.3378728
title: TESS-JUNE-2019

description: Measurements taken by the European Photometer Network (Project STARS4ALL). June 2019
DOI: 10.25582/data.2019-06.1791415/1558662
title: Apoferritin

description: Apoferritin - 45kx magnification on Arctica with K2
DOI: 10.25582/data.2019-06.1791416/1558661
title: Apoferritin

description: Apoferritin - 36kx magnification on Arctica
DOI: 10.25582/data.2019-07.1808100/1558663
title: Apoferritin

description: Apoferritin July 2019 - 36kx magnification on Arctica with K2
DOI: 10.25582/data.2019-08.1825819/1558664
title: Apoferritin

description: Apoferritin August 2019 - PNCC Krios #2
DOI: 10.5281/zenodo.3378336
title: Investigating instability architectural smells evolution: an exploratory case study

description: This is the dataset used in our case study on architectural smells evolution. We tracked smells from 524 versions among 14 open source Java systems. More information can be found in our ICSME'19 paper titled: "Investigating instability architectural smells evolution: an exploratory case study". Additionally, you can find the tool on GitHub: https://github.com/darius-sas/astracker
DOI: 10.5281/zenodo.3378337
title: Investigating instability architectural smells evolution: an exploratory case study

description: This is the dataset used in our case study on architectural smells evolution. We tracked smells from 524 versions among 14 open source Java systems. More information can be found in our ICSME'19 paper titled: "Investigating instability architectural smells evolution: an exploratory case study". Additionally, you can find the tool on GitHub: https://github.com/darius-sas/astracker
DOI: 10.6073/pasta/f9863c1e7b9a439e7b667f6fe3b1bf16
title: Descriptive data file for information regarding microbial genetic research in the environs of Plum Island Sound watersheds, PIE LTER, Massachusetts.

description: This is a descriptive, tabular dataset of publications related to microbial or genomic research conducted within PIE. Assession numbers for genetic sequences generated from PIE samples are provided where available, followed by a very brief description of analysis type and study objectives. Sampling locations within PIE, sampling dates, and habitat type (sea water, fresh water, sediment, marsh) are also given. Environmental data are included in some publications and are listed here (if brief) or availability is described. Links to sequence archives are given in Methods.