cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12494933.v1
title: Additional file 8 of Genome re-sequencing and reannotation of the Escherichia coli ER2566 strain and transcriptome sequencing under overexpression conditions

description: Additional file 8: Table S7. The top 50 the highly expressed genes.
DOI: 10.6084/m9.figshare.23504980
title: Additional file 1 of Lenvatinib with or without stereotactic body radiotherapy for hepatocellular carcinoma with portal vein tumor thrombosis: a retrospective study

description: Additional file 1. Table S1. Baseline characteristics of the subgroup. Table S2. Subsequent treatment.
DOI: 10.6084/m9.figshare.23504980.v1
title: Additional file 1 of Lenvatinib with or without stereotactic body radiotherapy for hepatocellular carcinoma with portal vein tumor thrombosis: a retrospective study

description: Additional file 1. Table S1. Baseline characteristics of the subgroup. Table S2. Subsequent treatment.
DOI: 10.6084/m9.figshare.12494942
title: Additional file 9 of Genome re-sequencing and reannotation of the Escherichia coli ER2566 strain and transcriptome sequencing under overexpression conditions

description: Additional file 9. The re-sequenced ER2566 genome. (FASTA 4436 kb)
DOI: 10.6084/m9.figshare.12494942.v1
title: Additional file 9 of Genome re-sequencing and reannotation of the Escherichia coli ER2566 strain and transcriptome sequencing under overexpression conditions

description: Additional file 9. The re-sequenced ER2566 genome. (FASTA 4436 kb)
DOI: 10.6084/m9.figshare.12494957
title: Additional file 10 of Comparative transcriptome analysis of two Cercospora sojina strains reveals differences in virulence under nitrogen starvation stress

description: Additional file 10: Table S10. Putative virulence-related genes in the turquoise module.
DOI: 10.6084/m9.figshare.12494957.v1
title: Additional file 10 of Comparative transcriptome analysis of two Cercospora sojina strains reveals differences in virulence under nitrogen starvation stress

description: Additional file 10: Table S10. Putative virulence-related genes in the turquoise module.
DOI: 10.5519/qd.qqa7arfd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5258/soton/d2847
title: Dataset in support of the Southampton doctoral thesis 'The application of optimal control techniques to the shadowing approach for time averaged sensitivity analysis of chaotic systems'

description: This dataset is available 'on request' due to the large file size. Please complete the request form at:
https://library.soton.ac.uk/datarequest
.
Most of the datasets are provided in standard spectral format.
The data provided in this dataset is divided as follows:
Lorenz:
 Each image data is zipped accordingly and named appropriately.
 Three initial conditions are also provided
Kuramoto_Sivashinsky:
 The CLVs are zipped into one file which contains all clvs and adjoint variants
 The only thing to note is that the adjoint numerical viscosity simulations are zipped into groups of the range of mu
Kolmogorov:
 The clvs are zipped into clv/adjoint pairs and given the underscore_1
 Also the numerical viscosity and OCS are zipped into groups of values _500 represents an alpha value of 500 and _1_2 represents a time values of 1 to 2
DOI: 10.6084/m9.figshare.25054596
title: Variable Selection Based Testing for Parameter Changes in Regression with Autoregressive Dependence

description: We consider a regression model with autoregressive terms and propose significance tests for the detection of change points in this model. Our tests are applicable to both low- or moderate dimension and to high-dimension with sparse regressors. The dimension may be high from the practical point of view of economic and business applications, but in our theoretical framework it is fixed. To accommodate practically high dimension, variable selection is incorporated as an integral part of our approach. The regressors and the errors can exhibit general nonlinear dependence and the model incorporates autoregressive dependence. We develop asymptotic justification and evaluate the performance of the tests both on simulated and real economic data. We test for and estimate changes in responses to risk factors of a U.S. energy stocks portfolio and the Industrial Production index. We relate our findings to macroeconomic policy changes and global impact events.
DOI: 10.6084/m9.figshare.25054596.v2
title: Variable Selection Based Testing for Parameter Changes in Regression with Autoregressive Dependence

description: We consider a regression model with autoregressive terms and propose significance tests for the detection of change points in this model. Our tests are applicable to both low- or moderate dimension and to high-dimension with sparse regressors. The dimension may be high from the practical point of view of economic and business applications, but in our theoretical framework it is fixed. To accommodate practically high dimension, variable selection is incorporated as an integral part of our approach. The regressors and the errors can exhibit general nonlinear dependence and the model incorporates autoregressive dependence. We develop asymptotic justification and evaluate the performance of the tests both on simulated and real economic data. We test for and estimate changes in responses to risk factors of a U.S. energy stocks portfolio and the Industrial Production index. We relate our findings to macroeconomic policy changes and global impact events.
DOI: 10.6084/m9.figshare.25054596.v1
title: Variable selection based testing for parameter changes in regression with autoregressive dependence

description: We consider a regression model with autoregressive terms and propose significance tests for the detection of change points in this model. Our tests are applicable to both low- or moderate dimension and to high-dimension with sparse regressors. The dimension may be high from the practical point of view of economic and business applications, but in our theoretical framework it is fixed. To accommodate practically high dimension, variable selection is incorporated as an integral part of our approach. The regressors and the errors can exhibit general nonlinear dependence and the model incorporates autoregressive dependence. We develop asymptotic justification and evaluate the performance of the tests both on simulated and real economic data. We test for and estimate changes in responses to risk factors of a U.S. energy stocks portfolio and the Industrial Production index. We relate our findings to macroeconomic policy changes and global impact events.
DOI: 10.6084/m9.figshare.25040990
title: Policy Analysis Using Multilevel Regression Models with Group Interactive Fixed Effects

description: The use of multilevel regression models is prevalent in policy analysis to estimate the effect of group level policies on individual outcomes. In order to allow for the time varying effect of group heterogeneity and the group specific impact of time effects, we propose a group interactive fixed effects approach that employs interaction terms of group factor loadings and common factors in this model. For this approach, we consider the least squares estimator and associated inference procedure. We examine their properties under the large <i>n</i> and fixed <i>T</i> asymptotics. The number of groups, <i>G</i>, is allowed to grow but at a slower rate. We also propose a test for the level of grouping to specify group factor loadings, and a GMM approach to address policy endogeneity with respect to idiosyncratic errors. Finally, we provide empirical illustrations of the proposed approach using two empirical examples.
DOI: 10.6084/m9.figshare.25040990.v1
title: Policy Analysis Using Multilevel Regression Models with Group Interactive Fixed Effects

description: The use of multilevel regression models is prevalent in policy analysis to estimate the effect of group level policies on individual outcomes. In order to allow for the time varying effect of group heterogeneity and the group specific impact of time effects, we propose a group interactive fixed effects approach that employs interaction terms of group factor loadings and common factors in this model. For this approach, we consider the least squares estimator and associated inference procedure. We examine their properties under the large <i>n</i> and fixed <i>T</i> asymptotics. The number of groups, <i>G</i>, is allowed to grow but at a slower rate. We also propose a test for the level of grouping to specify group factor loadings, and a GMM approach to address policy endogeneity with respect to idiosyncratic errors. Finally, we provide empirical illustrations of the proposed approach using two empirical examples.
DOI: 10.6084/m9.figshare.25288813
title: <b>Phylogeographic pattern of the assassin bug </b><b><i>Sycanus croceovittatus</i></b><b> inferred from mitochondrial genomes and nuclear genes</b>

description: <i>Sycanus croceovittatus</i> is a widely distributed assassin bug (Hemiptera: Reduviidae) in southern China. It is a potential biological control agent in agricultural ecosystems. However, its distribution pattern and evolutionary history have not been explored. This study sequenced its mitochondrial genome and nuclear ribosomal RNA genes to assess the effects of climatic oscillations and geological events on its phylogeographic patterns. The results suggested that native populations of <i>S. croceovittatus</i> in southern China can be divided into two phylogeographic clades which diverged during the penultimate glacial in the Middle Pleistocene: Clades A and B. Most samples from Hainan Island formed a monophyletic lineage within Clade A, which diverged during the Late Pleistocene. The Qiongzhou Strait connecting mainland China and Hainan Island might have served as a "dispersal corridor" during the Pleistocene glaciation, with the Hainan Island population becoming separated when rising sea levels submerged this land bridge. Ecological niche analysis suggested the suitability sustainably of the mainland and island populations since the last interglacial period. Demographic inferences indicated expansions of <i>S. croceovittatus</i> during the Middle and Late Pleistocene, likely due to climatic conditions. Our study highlights the role of Pleistocene sea-level changes in determining the distribution patterns of assassin bugs in China.
DOI: 10.6084/m9.figshare.25288813.v1
title: <b>Phylogeographic pattern of the assassin bug </b><b><i>Sycanus croceovittatus</i></b><b> inferred from mitochondrial genomes and nuclear genes</b>

description: <i>Sycanus croceovittatus</i> is a widely distributed assassin bug (Hemiptera: Reduviidae) in southern China. It is a potential biological control agent in agricultural ecosystems. However, its distribution pattern and evolutionary history have not been explored. This study sequenced its mitochondrial genome and nuclear ribosomal RNA genes to assess the effects of climatic oscillations and geological events on its phylogeographic patterns. The results suggested that native populations of <i>S. croceovittatus</i> in southern China can be divided into two phylogeographic clades which diverged during the penultimate glacial in the Middle Pleistocene: Clades A and B. Most samples from Hainan Island formed a monophyletic lineage within Clade A, which diverged during the Late Pleistocene. The Qiongzhou Strait connecting mainland China and Hainan Island might have served as a "dispersal corridor" during the Pleistocene glaciation, with the Hainan Island population becoming separated when rising sea levels submerged this land bridge. Ecological niche analysis suggested the suitability sustainably of the mainland and island populations since the last interglacial period. Demographic inferences indicated expansions of <i>S. croceovittatus</i> during the Middle and Late Pleistocene, likely due to climatic conditions. Our study highlights the role of Pleistocene sea-level changes in determining the distribution patterns of assassin bugs in China.
DOI: 10.21227/13qz-e261
title: BESS-Set

description: Smart grids are nowadays featured by distributed energy resources, both renewables, traditional sources and storage systems. Generally, these components are characterized by different control technologies that interact with the generators through smart inverters. This exposes them to a variety of cyber threats. In this context, there is a need to develop datasets of attacks on these systems, in order to evaluate the risks and allow researchers to develop proper monitoring algorithms. This dataset addresses this need, presenting BESS-Set, an open-source dataset for cybersecurity analysis, of a Battery Energy Storage System (BESS). We also provide the Simulink model used to collect the dataset.
DOI: 10.15468/7da5eg
title: Red list of flora and fauna of Cherkasy region of Ukraine

description: The checklist consists of species of animals and plants that are rare or endangered in the territory of the Cherkasy region of Ukraine. The checklist was implemented by the decision the Cherkasy Regional Council "On approval of the list of plant species subject to special protection in the territory of the Cherkasy Region and its Regulations" dated September 10, 2021 #8-33/VIII.
DOI: 10.5281/zenodo.10708323
title: Natrolite - Sample 2 NanED Round Robin, Data: ESR10

description: Natrolite

The following submission contains the data collection and processing of the dataset for the sample natrolite under the NanEd round-robin project. A single crystal was identified, and the rotation data acquisition technique was used to collect the dataset on the same crystal. The dataset was processed with XDS software. The table below summarizes the data collection parameters for the dataset

 

Continuous Rotation:




General information
 


Project
NanED (www.naned.eu)


ESR Project
ESR11 - Round Robin


Project Label
RR-2


Sample Label
RR-2_SU


Dataset Label
RR-2_SU_11-1 to 6


 
 


Instrumental
 


Instrument
Transmission electron microscope JEOL 2100 LaB6


Radiation source
LaB6


Accelerating voltage
200 kV


Wavelength
0.0251 Å


Probe type
Parallel beam


Beam diameter
6 μm


Beam convergence
Parallel beam, convergence <0.1 mrad


Detector
Hybrid pixel detector ASI Timepix (bottom mounted)


Number of pixels in the image
512 x 512


Pixel size
55 µm x 55 µm


Effective camera length
See cRED_log.txt in each dataset


Calibration constant
0.004990 Å-1/pixel


 
 


Sample description
 


Name
Natrolite


Chemical composition


Na2Si3Al2O10.(H2O)2



Sample source
 


Sample preparation
Powder crushed in an agate mortar and deposited on a Cu grid with lacey C film


 
 


Experimental
 


Data Type
Electron diffraction data - 3D ED


Data collection method
Continuous Rotation


Temperature (K) used during data collection
293 K


Number of crystals contributing to the data set
6


Number of experimental frames
See cRED_log.txt in each dataset


Tilt range, tilt step, tilt per frame
See cRED_log.txt in each dataset


Exposure time per frame
See cRED_log.txt in each dataset


 
 


Software
 


Software used for the data collection
Instamatic


Software used for processing
XDS


 
 


Authorship and bibliography
 


Author(s) of the data
Angelina Vypritskaia (ESR 11) 


Related data
 


Publication(s)
 


 
 


Files and data formats
 


Images folder


RED: Folder containing images of the diffraction pattern from each frame (mrc)

SMV/data: Folder containing images of the diffraction pattern from each frame (img)



Image format
mrc and img


Additional folders/files
tiff image: image of the crystal


 
cRED_log: log file of data collection


 
1.ed3d: input file for REDp


 
XDS.INP: input file for the program XDS
DOI: 10.5281/zenodo.10708324
title: Natrolite - Sample 2 NanED Round Robin, Data: ESR10

description: Natrolite

The following submission contains the data collection and processing of the dataset for the sample natrolite under the NanEd round-robin project. A single crystal was identified, and the rotation data acquisition technique was used to collect the dataset on the same crystal. The dataset was processed with XDS software. The table below summarizes the data collection parameters for the dataset

 

Continuous Rotation:




General information
 


Project
NanED (www.naned.eu)


ESR Project
ESR11 - Round Robin


Project Label
RR-2


Sample Label
RR-2_SU


Dataset Label
RR-2_SU_11-1 to 6


 
 


Instrumental
 


Instrument
Transmission electron microscope JEOL 2100 LaB6


Radiation source
LaB6


Accelerating voltage
200 kV


Wavelength
0.0251 Å


Probe type
Parallel beam


Beam diameter
6 μm


Beam convergence
Parallel beam, convergence <0.1 mrad


Detector
Hybrid pixel detector ASI Timepix (bottom mounted)


Number of pixels in the image
512 x 512


Pixel size
55 µm x 55 µm


Effective camera length
See cRED_log.txt in each dataset


Calibration constant
0.004990 Å-1/pixel


 
 


Sample description
 


Name
Natrolite


Chemical composition


Na2Si3Al2O10.(H2O)2



Sample source
 


Sample preparation
Powder crushed in an agate mortar and deposited on a Cu grid with lacey C film


 
 


Experimental
 


Data Type
Electron diffraction data - 3D ED


Data collection method
Continuous Rotation


Temperature (K) used during data collection
293 K


Number of crystals contributing to the data set
6


Number of experimental frames
See cRED_log.txt in each dataset


Tilt range, tilt step, tilt per frame
See cRED_log.txt in each dataset


Exposure time per frame
See cRED_log.txt in each dataset


 
 


Software
 


Software used for the data collection
Instamatic


Software used for processing
XDS


 
 


Authorship and bibliography
 


Author(s) of the data
Angelina Vypritskaia (ESR 11) 


Related data
 


Publication(s)
 


 
 


Files and data formats
 


Images folder


RED: Folder containing images of the diffraction pattern from each frame (mrc)

SMV/data: Folder containing images of the diffraction pattern from each frame (img)



Image format
mrc and img


Additional folders/files
tiff image: image of the crystal


 
cRED_log: log file of data collection


 
1.ed3d: input file for REDp


 
XDS.INP: input file for the program XDS
DOI: 10.57745/stjv1x
title: data_preparation_and_analysis.knwf

description: Workflow of the preparation and analysis of the data. To used with the KNIME software (https://www.knime.com/) version 4.6.5 and later.
DOI: 10.57745/wopkd8
title: skin_sens_bmdc.sdf

description: This file contains the dataset used for training of a quantitative structure-activity relationship (QSAR) model that predicts skin sensitization according to bone marrow-derived dendritic cells (BMDC) assay. The file is in MDL SDF format.
DOI: 10.57745/9qdkqe
title: README.txt

description: Description of the dataset
DOI: 10.57745/fdgeqj
title: All_Sensitization_Labels.sdf

description: Contains all compounds with the sensitization labels interpreted from different end points. For logical variables, 0 means "non-sensitizing" and 1 means "sensitizing". The file is in MDL SDF format. Updated label for 4-acetoxybenzoic acid.
DOI: 10.57745/gmrdj5
title: All_Sensitization_Labels.sdf

description: Contains all compounds with the sensitization labels interpreted from different end points. For logical variables, 0 means "non-sensitizing" and 1 means "sensitizing". The file is in MDL SDF format.
DOI: 10.57745/jla72y
title: data_preparation_and_analysis.knwf

description: Workflow of the preparation and analysis of the data. To used with the KNIME software (https://www.knime.com/) version 4.6.5 and later. Updated labels for 4-acetoxybenzoic acid.
DOI: 10.57745/n4byve
title: skin_sens_bmdc.sdf

description: This file contains the dataset used for training of a quantitative structure-activity relationship (QSAR) model that predicts skin sensitization according to bone marrow-derived dendritic cells (BMDC) assay. The file is in MDL SDF format. Updated label for 4-acetoxybenzoic acid.
DOI: 10.17630/f42aba52-e0b6-49f2-89e2-235553cee18b
title: Data Underpinning Anqi Li's thesis

description: The data files are embargoed until 26/02/2028
DOI: 10.17632/jtxrr352kn.1
title: Inner Resilience and Well-being

description: In the realm of mathematics and artistry, a code dances with abstract concepts, translating them into vibrant visualisations and statistical insights. Let us embark on an insightful journey through this Python code, where mathematical functions become brushstrokes, creating portraits of inner resilience, detachment, equanimity, and more.

Setting the Stage: The Canvas of X-Axis The canvas is laid out with precision, the x-axis stretching from 0 to 1, a landscape ready to host the mathematical expressions that will soon adorn it.

Brushstroke 1: Inner Resilience The first stroke introduces us to the sinuous elegance of the sine function, a curve embodying the concept of inner resilience. As the x-values sway, the y-values ripple with strength and flexibility, capturing the essence of resilience in mathematical form.

Brushstroke 2: Detachment from Outcomes The canvas transforms with the stroke of detachment. A symphony of mathematical calculations produces a line that doesn't cling to the axis of success or failure. It's a portrayal of detachment, where the distance from predetermined outcomes becomes a form of artistic expression.

Brushstroke 3: Embracing Equanimity The cosine function takes centre stage, crafting a wave of equanimity. As x evolves, the y-values oscillate, reflecting the cyclical nature of life's dualities. This is not just a curve; it's a mathematical embrace of equanimity in the face of undulating circumstances.

Brushstroke 4: Modern Yoga A more intricate dance unfolds with the sin function's higher frequency, illustrating a modern application of yoga. It's not just a physical pose; it's a rhythm of balance reverberating through the mathematical fabric, inviting us to synchronize with life's complexities.

Brushstroke 5: Navigating Work and Life A linear equation joins the composition, a straight line cutting through the mathematical space. This is the brushstroke of navigating work and life with equipoise, a visual guide for maintaining balance amidst responsibilities.

Brushstroke 6: Stress Reduction and Well-being The canvas is now touched by an exponential function, crafting an ethereal representation of stress reduction and well-being. As x meanders, the curve descends, symbolising the calming descent into a state of emotional well-being.

Harmony in Diversity: The Symphony of Statistical Insights The visual feast doesn't stop at aesthetics. Statistical analyses are interwoven, revealing nuances in each stroke. Mean and standard deviation speak of central tendencies and variations. Skewness and kurtosis, akin to an art critic's gaze, unveil the shapes and twists of these mathematical portraits. Minimum and maximum values, the quiet observers, mark the boundaries of this artistic landscape.
DOI: 10.17632/w5kktt6v88.1
title: Test distribution systems for optimal switch placement

description: A dataset including four test distribution systems for switch optimization purposes. Two of the systems, namely 37- and 64-node systems, are small-scale networks. The 186-node network is a rural network and the 230-node system represents an urban/suburban grid.
DOI: 10.17632/w5kktt6v88.2
title: Test distribution systems for optimal switch placement

description: A dataset including five test distribution systems for switch optimization purposes. Two of the systems, namely 37- and 64-node systems, are small-scale networks. The 186-node network is a rural network, the 230-node system represents an urban/suburban grid, and the 1000-node is a mixed urban, suburban, and rural network.