cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pgcgrbd6nf.1
title: Vascular suture line wrapping for Aortoiliac anastomoses following open surgical repair of Infrarenal Behçet’s Aortoiliac aneurysms

description: This study was conducted to evaluate our local experiences of adjunctive mechanical prosthetic wrapping for aortoiliac vascular anastomoses as a prophylactic measure following surgical repair of Behçet’s aortoiliac aneurysms. The goal of prosthetic wrapping to reinforce the vascular anastomoses by mechanical protection to reduce the bleeding complications, and consequently pseudoaneurysm formation. This was aided by the administration of pre- and postoperative immunosuppressive therapy as an adjuvant treatment.
DOI: 10.17632/78jsjhcwxy.1
title: Racism in U.S. social studies education: Invisible while on full display

description: This study's use of decolonized critique of Western history helps identify the invisible white Euro-American culture embedded in the National Curriculum Standards for Social Studies, the Texas Social Studies Essential Knowledge and Skills Standards, and the New Mexico Social Studies Content Standards. The matrix developed for this study identifies intersectionality between the five tenets of Critical Race Theory and Bonilla-Silva's (2018) Four Frames of Colorblindness as a way to expose colorblind language in state-approved social studies content standards. Data was collected from the content standards for the 5th grade and 8th grade from both states and analyzed. The number of NM benchmarks within a strand varies, as does the list of content standards within each benchmark. There are 176 social studies standards for grades 5 through 8. Texas 5th grade standards have 106 content standards, while 8th grade has 125 standards. The author compared articles continuously by using MaxQDA, a qualitative data analysis software, and a computer-assisted coding system using categories created from the theoretical framework. Two of the three phases recommended by Corbin & Strauss (2015) were employed. First, selective coding was employed to capture data within content standards that related to any of the decolonizing CRT matrix variables or contained the variables for capitalism, individualism, or race literacy. Then axial coding was employed to determine connections or relationships between the variables. Using Lincoln and Guba's (1983) stringent criteria, the author determined whether a unit of information revealed information relevant to the study, and if the information is interpretable in the absence of supporting evidence. In addition to the decolonized variables in the CRT matrix, the other code words used for this study include race literate content standards, capitalism/free market, colonization references, economics, religion, and individualism. Ultimately, the 231 Texas social studies standards received 422 codes, while the 113 New Mexico standards received 264. The general picture emerging from the analysis is that nonracial language is detectable as racist language. As in previous studies, the results of this analysis confirm that subtle forms of racism are detectable through the application of Critical Race Theory and the four frames of colorblind racism using decolonizing methods. The findings provide strong evidence of race-proof narratives in both Texas and New Mexico content standards. Additional evidence of nonracial racism is detectable in the higher usage of certain words over others. The higher usage of words like 'religion,' 'individuals,' and 'Capitalism' over words like 'slavery,' 'indigenous' and 'African American' indicate the interest of specific topics over others. Finally, the Texas content standards provide convincing evidence of a link between examples of interest convergence and topics on capitalism.
DOI: 10.17632/f4c69tn945.1
title: Basra

description: The current dataset relates to the manuscript titled "Different inhibitory control components predicts different levels of language control in bilinguals" which examined various general executive functions on bilingual language control processes.. A Simon task was used to measure interference suppression in Experiment 1, and a go/nogo task was used to measure response inhibition in Experiment 2.
DOI: 10.17632/f4c69tn945.2
title: Different inhibitory control components predicts different levels of language control in bilinguals

description: The current dataset relates to the manuscript titled "Different inhibitory control components predicts different levels of language control in bilinguals" which examined various general executive functions on bilingual language control processes.. A Simon task was used to measure interference suppression in Experiment 1, and a go/nogo task was used to measure response inhibition in Experiment 2.
DOI: 10.17632/y4wsb24xc3.1
title: Stabilometry and moca data
DOI: 10.17632/cgzpyvpvpw.1
title: Trombose

description: Trombose
DOI: 10.17632/dzjn9d89bw.1
title: Assis et al., 2020 - Original data table

description: This is the original data set (before outliers removal) used in the data analyses from the manuscript: "Stress and immunity: field comparisons among populations of invasive cane toads in Florida" published in JEZ-A. https://doi.org/10.1002/jez.2389
DOI: 10.17632/gg8psv34kk.1
title: Encuesta confianza en medios e instituciones

description: Survey among undergraduate students on their trust in media and institutions in Mexico.
DOI: 10.17632/hvfkdpfwnr.1
title: Educational outcomes of graduate and undergraduate students who completed e-courses in mathematical methods in psychological and educational researches

description: These are databases of a quasi-experimental study by Marina G. Sorokova, conducted at the Moscow State University of Psychology & Education (MSUPE) in the fall semester of 2019 and the spring semester of 2020. The educational outcomes of students who completed e-courses in mathematical methods in psychological and educational researches according to the "flipped classroom'' approach are presented. The study aims to check the differences between graduate and undergraduate students in the educational results and knowledge retention The same tendency was revealed in students of both groups: pretest points are low, posttest points significantly and strongly increase, and then after 1.5 - 4 months they significantly decrease, while remaining significantly higher than the input results. No differences between students of both groups in the pretest indicators, posttest indicators, general e-course indicators and knowledge retention were revealed. Effect sizes are not significant.
DOI: 10.5281/zenodo.3880332
title: Data for the paper "Impacts of soft electron precipitations on the neutral density and satellite drag during the 28-29 May 2010 geomagnetic storm"

description: Data for the paper "Impacts of soft electron precipitations on the neutral density and satellite drag during the 28-29 May 2010 geomagnetic storm" by Qingyu Zhu, Yue Deng, Cheng Sheng, Phil Andersen and Aaron Bukowski GITM_3D.zip: GITM outputs at 12 UT, 05/29/2010 (Figure 3) HPs.zip: NOAA and Z2019 HP (Figure 1) rhos.zip: Neutral density along the GOCE orbit from observation, run1, run2, run3 and JB2008 model (Figures 2 and 4)
DOI: 10.5281/zenodo.3880333
title: Data for the paper "Impacts of soft electron precipitations on the neutral density and satellite drag during the 28-29 May 2010 geomagnetic storm"

description: Data for the paper "Impacts of soft electron precipitations on the neutral density and satellite drag during the 28-29 May 2010 geomagnetic storm" by Qingyu Zhu, Yue Deng, Cheng Sheng, Phil Andersen and Aaron Bukowski GITM_3D.zip: GITM outputs at 12 UT, 05/29/2010 (Figure 3) HPs.zip: NOAA and Z2019 HP (Figure 1) rhos.zip: Neutral density along the GOCE orbit from observation, run1, run2, run3 and JB2008 model (Figures 2 and 4)
DOI: 10.3886/e119761
title: Survey for health impacts of DWM

description: This study identifies and documents health and safety issues during post-disaster activities in developing countries by adopting an exploratory case-study approach. In particular, a case study of the Nepal earthquake 2015 is utilized to gather information and then develop an understanding of health and safety issues during DWM.
DOI: 10.3886/e119761v1
title: DWM Health impacts

description: This study identifies and documents health and safety issues during post-disaster activities in developing countries by adopting an exploratory case-study approach. In particular, a case study of the Nepal earthquake 2015 is utilized to gather information and then develop an understanding of health and safety issues during DWM.
DOI: 10.3886/e119761v2
title: Survey for health impacts of DWM

description: This study identifies and documents health and safety issues during post-disaster activities in developing countries by adopting an exploratory case-study approach. In particular, a case study of the Nepal earthquake 2015 is utilized to gather information and then develop an understanding of health and safety issues during DWM.
DOI: 10.5281/zenodo.3882053
title: Conflicting objectives of energy development and water security in Africa

description: This dataset underpins the study "Conflicting objectives of energy development and water security in Africa". The study provides insights into energy supply and demand, power generation, investments and total system costs, water consumption and withdrawal as well as carbon dioxide emissions for the African continent. We developed a model to evaluate energy supply and water requirements to cover the energy needs of the African continent during the period 2015-2065. The model was developed using the open-source modeling system for long-term energy planning OSeMOSYS. The objective function is to minimise total energy system costs, rather than, for example, co-optimise the energy and water sectors. Other energy resources were also included in the model except for adding the water analysis, and the dataset was updated based on the latest available information. The OSeMOSYS model developed to conduct the study “Energy projections for African countries”, itself extended from the Electricity Model Base for Africa (TEMBA), was further extended, included exports for all fuels and water loss due to evaporation in hydropower plants. Furthermore, the latest available data on the energy system of Africa was also updated. The TEMBA model produces aggregate energy, and detailed power system results in each country in the African continent. The power sector results are also reported with power pool aggregation. The OSeMOSYS model and input data used to produce these results can be found at https://github.com/KTH-dESA/jrc_temba/tree/version1.4 The initial study was funded by the Joint Research Centre of the European Commission (contract number C936531 - JRC/PTT/2018/C.7/0038/NC).
DOI: 10.21227/62n1-7d68
title: OSCD - Onera Satellite Change Detection

description: The DatasetThe Onera Satellite Change Detection dataset addresses the issue of detecting changes between satellite images from different dates.It comprises 24 pairs of multispectral images taken from the Sentinel-2 satellites between 2015 and 2018. Locations are picked all over the world, in Brazil, USA, Europe, Middle-East and Asia. For each location, registered pairs of 13-band multispectral satellite images obtained by the Sentinel-2 satellites are provided. Images vary in spatial resolution between 10m, 20m and 60m.Pixel-level change ground truth is provided for 14 of the image pairs. The annotated changes focus on urban changes, such as new buildings or new roads. These data can be used for training and setting parameters of change detection algorithms. The BenchmarkThe algorithms can be tested in a benchmark for change detection.The ground truth for the 10 remaining images remain undisclosed. Change prediction maps can be uploaded for evaluation on the IEEE GRSS DASE website. Various metrics such as per-class accuracy and confusion matrices are automatically computed on the website, and are available for participants. Comparison to the best performing methods is provided in the leaderboard associated with this benchmark.ReferencesIf you use this work for your projects, please take the time to cite our paper:Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks, R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau. IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018). Valencia, Spain. July 2018.[PDF] [BibTeX] The TeamRodrigo Caye Daudt, rodrigo.daudt@onera.frBertrand Le Saux, bls@ieee.orgAlexandre Boulch, alexandre.boulch@onera.frYann Gousseau, yann.gousseau@telecom-paristech.fr
DOI: 10.21227/d3z3-6831
title: OSCD - Onera Satellite Change Detection

description: The DatasetThe Onera Satellite Change Detection dataset addresses the issue of detecting changes between satellite images from different dates.It comprises 24 pairs of multispectral images taken from the Sentinel-2 satellites between 2015 and 2018. Locations are picked all over the world, in Brazil, USA, Europe, Middle-East and Asia. For each location, registered pairs of 13-band multispectral satellite images obtained by the Sentinel-2 satellites are provided. Images vary in spatial resolution between 10m, 20m and 60m.Pixel-level change ground truth is provided for 14 of the image pairs. The annotated changes focus on urban changes, such as new buildings or new roads. These data can be used for training and setting parameters of change detection algorithms. The BenchmarkThe algorithms can be tested in a benchmark for change detection.The ground truth for the 10 remaining images remain undisclosed. Change prediction maps can be uploaded for evaluation on the IEEE GRSS DASE website. Various metrics such as per-class accuracy and confusion matrices are automatically computed on the website, and are available for participants. Comparison to the best performing methods is provided in the leaderboard associated with this benchmark.(Update June 2020) Alternatively, you can use the test labels which are now provided in a separate archive, and compute standard metrics. For this purpose, we provide a python notebook to train, apply and evaluate Fully-Convolutional Networks for change detection: https://github.com/rcdaudt/fully_convolutional_change_detection ReferencesIf you use this work for your projects, please take the time to cite our paper:Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks, R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau. IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018). Valencia, Spain. July 2018.[PDF] [BibTeX] The TeamRodrigo Caye Daudt, rodrigo.daudt@onera.frBertrand Le Saux, bls@ieee.orgAlexandre Boulch, alexandre.boulch@valeo.aiYann Gousseau, yann.gousseau@telecom-paristech.fr
DOI: 10.21227/ehcr-4v51
title: OSCD - Onera Satellite Change Detection

description: The DatasetThe Onera Satellite Change Detection dataset addresses the issue of detecting changes between satellite images from different dates.It comprises 24 pairs of multispectral images taken from the Sentinel-2 satellites between 2015 and 2018. Locations are picked all over the world, in Brazil, USA, Europe, Middle-East and Asia. For each location, registered pairs of 13-band multispectral satellite images obtained by the Sentinel-2 satellites are provided. Images vary in spatial resolution between 10m, 20m and 60m.Pixel-level change ground truth is provided for 14 of the image pairs. The annotated changes focus on urban changes, such as new buildings or new roads. These data can be used for training and setting parameters of change detection algorithms. The BenchmarkThe algorithms can be tested in a benchmark for change detection.The ground truth for the 10 remaining images remain undisclosed. Change prediction maps can be uploaded for evaluation on the IEEE GRSS DASE website. Various metrics such as per-class accuracy and confusion matrices are automatically computed on the website, and are available for participants. Comparison to the best performing methods is provided in the leaderboard associated with this benchmark.(Update June 2020) Alternatively, you can use the test labels which are now provided in a separate archive, and compute standard metrics. For this purpose, we provide you with a python notebook to train, apply and evaluate Fully-Convolutional Networks for change detection: https://github.com/rcdaudt/fully_convolutional_change_detection ReferencesIf you use this work for your projects, please take the time to cite our paper:Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks, R. Caye Daudt, B. Le Saux, A. Boulch, Y. Gousseau. IEEE International Geoscience and Remote Sensing Symposium (IGARSS’2018). Valencia, Spain. July 2018.[PDF] [BibTeX] The TeamRodrigo Caye Daudt, rodrigo.daudt@onera.frBertrand Le Saux, bls@ieee.orgAlexandre Boulch, alexandre.boulch@valeo.aiYann Gousseau, yann.gousseau@telecom-paristech.fr
DOI: 10.21227/k446-ya63
title: GIB-UVa ERP-based BCI dataset

description: Test
DOI: 10.21227/f124-ds53
title: GIB-UVa ERP-based BCI dataset

description: This dataset contains data from 73 subjects using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is build on data from 3 different studies, and therefore, it's divided in 3 sets according to the experimental protocols. The complete dataset will be uploaded on paper acceptance.
DOI: 10.21227/s3b2-8m24
title: GIB-UVa ERP-based BCI dataset

description: This dataset contains data from 73 subjects using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is build on data from 3 different studies, and therefore, it's divided in 3 sets according to the experimental protocols. The complete datase will be uploaded on paper acceptance.
DOI: 10.21227/wzay-1a15
title: GIB-UVa ERP-based BCI dataset

description: This dataset contains data from 73 subjects using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is build on data from 3 different studies, and therefore, it's divided in 3 sets according to the experimental protocols. The complete dataset will be uploaded on paper acceptance.
DOI: 10.21227/xd5g-ap85
title: GIB-UVa ERP-based BCI dataset

description: This dataset contains data from 73 subjects using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is build on data from 3 different studies, and therefore, it's divided in 3 sets according to the experimental protocols. The complete dataset will be uploaded on paper acceptance.
DOI: 10.21227/yv0v-vz08
title: GIB-UVa ERP-based BCI dataset

description: This dataset contains data from 73 subjects using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is build on data from 3 different studies, and therefore, it's divided in 3 sets according to the experimental protocols.
DOI: 10.21227/wy4d-s092
title: GIB-UVa ERP-based BCI dataset

description: This dataset contains data from 73 subjects using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is built on data from 3 different studies, and therefore, it's divided in 3 sets according to the experimental protocols. The complete dataset will be uploaded on paper acceptance.
DOI: 10.21227/x26c-qp28
title: GIB-UVa ERP-based BCI dataset

description: This dataset contains data from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is built on data from 3 different studies, and therefore, it's divided in 3 sets according to the experimental protocols. The complete dataset will be uploaded on paper acceptance.
DOI: 10.21227/y5cw-mk46
title: GIB-UVa ERP-BCI dataset

description: This dataset contains data from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The dataset is built on data from 3 different studies, and therefore, it's divided in 3 sets according to the experimental protocols. The complete dataset will be uploaded on paper acceptance.
DOI: 10.5519/qd.7l5wydnk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.g60gwrfv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.21227/9f4r-f590
title: GIB-UVa ERP-BCI dataset

description: This dataset contains data from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The complete dataset will be uploaded on paper acceptance.
DOI: 10.3886/e119481
title: Replication Data for Capital Controls: Theory and Evidence

description: This paper synthesizes recent advances in the theoretical and empirical literature on capital controls. We start by observing that international capital flows have both benefits and costs, but some of these are not internalized by individual actors and thus constitute externalities. The theoretical literature has identified pecuniary externalities and aggregate demand externalities that respectively contribute to financial instability and recessions. These externalities provide a natural rationale for counter-cyclical capital controls that lean against boom and busts cycles in international capital flows. The empirical literature has developed several measures of capital controls to capture different aspects of capital account openness. We evaluate the strengths and weaknesses of different measures and provide an overview of the empirical findings on the effectiveness of capital controls in addressing the externalities identified by the theory literature, i.e. in reducing financial fragility and enhancing macroeconomic stability. We also discuss strategies to deal with the endogeneity of capital controls in such statistical exercises. We conclude by providing an overview of the historical and current debates on the role of capital controls in macroeconomic management and their relationship to the academic literature.<br>
DOI: 10.3886/e119481v1
title: Replication Data for Capital Controls: Theory and Evidence

description: This paper synthesizes recent advances in the theoretical and empirical literature on capital controls. We start by observing that international capital flows have both benefits and costs, but some of these are not internalized by individual actors and thus constitute externalities. The theoretical literature has identified pecuniary externalities and aggregate demand externalities that respectively contribute to financial instability and recessions. These externalities provide a natural rationale for counter-cyclical capital controls that lean against boom and busts cycles in international capital flows. The empirical literature has developed several measures of capital controls to capture different aspects of capital account openness. We evaluate the strengths and weaknesses of different measures and provide an overview of the empirical findings on the effectiveness of capital controls in addressing the externalities identified by the theory literature, i.e. in reducing financial fragility and enhancing macroeconomic stability. We also discuss strategies to deal with the endogeneity of capital controls in such statistical exercises. We conclude by providing an overview of the historical and current debates on the role of capital controls in macroeconomic management and their relationship to the academic literature.<br>
DOI: 10.21227/0nba-fx77
title: GIB-UVa ERP-BCI dataset

description: This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The complete dataset will be uploaded on paper acceptance.
DOI: 10.25345/c5j13z
title: MassIVE MSV000085559 - Quantitative Proteomics of human relevance of the dietary fiber-induced liver cancer murine model
title: Quantitative Proteomics of human relevance of the dietary fiber-induced liver cancer murine model