cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25375/uct.24864474.v1
title: River plots before (A) and after (B) post-processing with the hidden Markov model applied for the entire study area and Bar plots of the gross (grey) and net (colour) change in each land cover class between 1990 and 2020 before (A) and after (B) post-processing for the entire study area with a hidden Markov model.

description: This dataset was used to produce land cover change analyses for Figures 3.6 (A & B) and Figures 3.7 (A &B) as part of a master's thesis titled- Repeatable methods for classification of alien and native vegetation in the Montane grasslands (2024).Twenty-four data entries are included: 11 non-hidden Markov model (HMM) GeoTIFFs; 11 hidden Markov model post-processed GeoTIFFs; r script containing pre-HMM analysis of land cover change illustrated using river plots and bar graph; and r script containing post-HMM analysis of land cover change displayed via river plots and bar graph. This dataset combines pre-HMM and HMM post-processed analyses from 1990 until 2020 to depict and quantify land lover changes between different land cover classes (i.e. aliens, NVF, grassland, mixed woody grassland, and forest) using river plots and bar graphs. Thus it produces Figures 3.6A & 3.7A (pre-HMM analyses), and Figures 3.6B & 3.7B (HMM post-processed analyses) in the above-mentioned thesis. Date of data collection: February 2020Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo
DOI: 10.5442/nd000005
title: Optical simulations of nanotextured perovskite/silicon tandem solar cell

description: Perovskite/silicon tandem solar cells (PSTSC) are amongst the most promising routes to increase the power conversion efficiency (PCE) of silicon-based solar cells. Many of the highly efficiency PSTSC use planar perovskite top cell layer stacks because of the compatibility with solution processing, which is the preferred fabrication process for perovskite solar cells. However, light management can further improve the optical performance of PSTSC. For example, smooth nanotextures can help to reduce reflective losses and increase the absorption of light in the absorber layers without compromising the compatibility with perovskite solution processing. 
This database contains the results of optical simulations for different nanotexturing schemes for PSTSC. We studied three configurations: a planar perovskite top cell, a perovskite top cell with a textured rear side, and a fully textured perovskite top cell. As textures we used sinusoidal nanotextures, which were already successfully implemented in perovskite single-junction solar cells and also have already been successfully transferred into the front side of silicon bottom cells enabling carrier lifetimes above 10 milliseconds. Further, numerical studies already demonstrated the high theoretical potential of sinusoidal nanotextures.
The simulations were performed with the finite element method (FEM) for the wavelength range between We studied sinusoidal nanotextures with periods ranging from 500 nm to 1000 nm and with aspect ratios between 20% and 60%. The results presented in this database are the results of a global optimization using a Bayesian optimization algorithm.
The data is provided as a ZIP archive containing the absorption spectra and current densities stored as csv files. An overview of all the simulations is given in the files simulation_list.csv and simulation_overview.csv.
DOI: 10.6084/m9.figshare.22599476.v1
title: Additional file 1 of Canalization of genome-wide transcriptional activity in Arabidopsis thaliana accessions by MET1-dependent CG methylation

description: Additional file 1: Table S1. (1) CRISPR guide-RNA design for MET1 knockout, primers used for PCR-based genotyping of frameshift mutations. (2) List of accessions used in this study. (3) List of mutants in each accession and identified mutations.
DOI: 10.5442/nd000007
title: Using the photo-induced L_3 resonance shift in Fe and Ni as time reference for ultrafast experiments at low flux soft X-ray sources

description: We study the optical-pump induced ultrafast transient change of the X-ray absorption at the L_3 absorption resonances of the transition metals Ni and Fe in Fe_{0.5}Ni_{0.5} alloy. We find the effect for both elements to occur simultaneously on a femtosecond timescale. This effect may hence be used as a handy cross-correlation scheme providing a time-zero reference for ultrafast optical-pump soft X-ray-probe measurement. The method benefits from a relatively simple experimental setup as the sample itself acts as time-reference tool. In particular, this technique works with low flux ultrafast soft X-ray sources. The measurements are compared to the cross-correlation method introduced in an earlier publication.
The data is a spec-file containing the scans that have been used for the analysis. See the accompanying README.pdf file for details.
DOI: 10.5281/zenodo.10628723
title: Uniting Gaia and APOGEE to unveil the cosmic chemistry of the Milky Way disc

description: This upload contains two files, which are subsets of the Gaia catalogue used in the following notebook:

https://github.com/gaia-unlimited/gaiaunlimited/blob/main/docs/notebooks/RedClump_GSP-Spec_SF.ipynb

which constructs a selection function for a subset of red clump stars, and produces several of the figures in the article:

Uniting and APOGEE to unveil the cosmic chemistry of the Milky Way disc

Tristan Cantat-Gaudin, Morgan Fouesneau, Hans-Walter Rix, G.A. Anthony Brown, Ronald Drimmel, Alfred Castro-Ginard, Shourya Khanna, Vasily Belokurov, R. Andrew Casey

https://doi.org/10.1051/0004-6361/202348018
DOI: 10.5281/zenodo.10628724
title: Uniting Gaia and APOGEE to unveil the cosmic chemistry of the Milky Way disc

description: This upload contains two files, which are subsets of the Gaia catalogue used in the following notebook:

https://github.com/gaia-unlimited/gaiaunlimited/blob/main/docs/notebooks/RedClump_GSP-Spec_SF.ipynb

which constructs a selection function for a subset of red clump stars, and produces several of the figures in the article:

Uniting and APOGEE to unveil the cosmic chemistry of the Milky Way disc

Tristan Cantat-Gaudin, Morgan Fouesneau, Hans-Walter Rix, G.A. Anthony Brown, Ronald Drimmel, Alfred Castro-Ginard, Shourya Khanna, Vasily Belokurov, R. Andrew Casey

https://doi.org/10.1051/0004-6361/202348018
DOI: 10.6084/m9.figshare.12637854.v1
title: Additional file 1 of Understanding Horizontal Gene Transfer network in human gut microbiota

description: Additional file 1. Spearman correlation between degrees of nodes in HGT networks in IBD dataset.
DOI: 10.6084/m9.figshare.12637854
title: Additional file 1 of Understanding Horizontal Gene Transfer network in human gut microbiota

description: Additional file 1. Spearman correlation between degrees of nodes in HGT networks in IBD dataset.
DOI: 10.5442/nd000004
title: 3D Neutron Computed Laminography of Maize Plants

description: Plant root systems induce biogeochemical patterns in the soil by respiration, water uptake and root exudation that can be measured with in-situ imaging techniques. Slab-shaped rhizoboxes represent the optimum design for 2D optical fluorescence imaging of pH and oxygen dynamics in the rhizosphere as well as measurement of soil water content by neutron radiography. However, quality of standard tomographic (3D) imaging of laterally extended samples suffers from insufficient neutron transmission over a significant angular range.
We therefore apply neutron computed laminography (NCL), an adapted tomographic technique especially suited for laterally extended samples, for the first time on plant root systems (Zea Mays) grown in flat, rectangular rhizoboxes (dimensions: 150mm*150mm*15mm). We successfully obtained the exact position of the roots within the rhizoboxes and could reconstruct and segment the full 3D architecture of the plant root systems. Co-registration of NCL with radiographs and fluorescence images provides a comprehensive insight into root oxygen uptake and rhizosphere pH dynamics of maize.
The data is provided as two ZIP archives with TIFF images representing the raw data obtained by 3D neutron computed laminography at the instrument CONRAD-2 as well as the reconstructed dataset of one maize sample.
DOI: 10.5442/nd000006
title: Optimizing metal grating back reflectors for III-V-on-silicon multijunction solar cells

description: Multi-junction solar cells allow to utilize sunlight more effectively than single junction solar cells. In our work, we present optical simulations of III-V-on-silicon solar cells with a metal grating at the back, which experimentally have reached more than 33% power conversion efficiency. First, we perform simulations with the finite element method and compare them with experimental data to validate our model. We find that accurately modeling the investigated geometrical structure is necessary for best agreement between simulation and experimental measurements. Then, we optimize the grating for maximized light trapping using a computationally efficient Bayesian optimization algorithm. The photo current density of the limiting silicon bottom cell is improved from 13.48 mA/cm2 for the experimental grating to 13.85 mA/cm2 for the optimized metal grating. Investigation of all geometrical optimization parameters of the grating (period, height, …) shows that the structure is most sensitive towards the period, a parameter highly controllable in manufacturing by inference lithography.
The data is provided as a ZIP archive containing the raw simulation results from FEM calculations for the backside grating and TMM calculations for the planar front side as well as EQE and reflection measurements of the experimental cells used as a benchmark. Please refer to the readme file included in the archive for details about the data structure.
Python code is supplied under DOI:10.5281/zenodo.5013230 that allows to generate the figures in the Optics Express publication “Optimizing metal grating back reflectors for III-V-on-silicon multijunction solar cells.” from the simulation raw data.
DOI: 10.25375/uct.24854199
title: Confusion matrix for land cover classification of 2019 training data using Landsat imagery.

description: This dataset is from a master's thesis titled: Repeatable methods of classification in the Montane grasslands (2024). The dataset includes two data entries which produce Figure 3.3 as part of the master's thesis.Firstly, the Excel spreadsheet contains a table representing the number of sites for that class that were correctly classified as that class as well as off-diagonal elements representing the misclassification between different land cover classes. Secondly, the r script formats, compiles and runs the Excel spreadsheet data and code to produce the confusion matrix.Period of data collection: February 2020.Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.<br><br>
DOI: 10.25375/uct.24854199.v1
title: Confusion matrix for land cover classification of 2019 training data using Landsat imagery.

description: This dataset is from a master's thesis titled: Repeatable methods of classification in the Montane grasslands (2024). The dataset includes two data entries which produce Figure 3.3 as part of the master's thesis.Firstly, the Excel spreadsheet contains a table representing the number of sites for that class that were correctly classified as that class as well as off-diagonal elements representing the misclassification between different land cover classes. Secondly, the r script formats, compiles and runs the Excel spreadsheet data and code to produce the confusion matrix.Period of data collection: February 2020.Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.<br><br>
DOI: 10.6084/m9.figshare.11591229.v1
title: Supplementary material from The cell uptake properties and hyperthermia performance of Zn<sub>0.5</sub>Fe<sub>2.5</sub>O<sub>4</sub>/SiO<sub>2</sub> nanoparticles as magnetic hyperthermia agents

description: Zn<sub>0.5</sub>Fe<sub>2.5</sub>O<sub>4</sub> nanoparticles (NPs) of 22 nm are synthesized by a one-pot approach and coated with silica for magnetic hyperthermia agents. The NPs exhibit superparamagnetic characteristics, high-specific absorption rate (SAR) (1083 wg<sup>−1</sup>, <i>f</i> = 430 kHz, <i>H</i> = 27 kAm<sup>−1</sup>), large saturation magnetization (<i>M</i><sub>s</sub> = 85 emu g<sup>−1</sup>), excellent colloidal stability and low cytotoxicity. The cell uptake properties have been investigated by Prussian blue staining, transmission electron microscopy and the inductively coupled plasma-mass spectrometer, which resulted in time-dependent and concentration-dependent internalization. The internalization appeared between 0.5 and 2 h, the NPs were mainly located in the lysosomes and kept in good dispersion after incubation with human osteosarcoma MG-63 cells. Then, the relationship between cell uptake and magnetic hyperthermia performance was studied. Our results show that the hyperthermia efficiency was related to the amount of internalized NPs in the tumour cells, which was dependent on the concentration and incubation time. Interestingly, the NPs could still induce tumour cells to apoptosis/necrosis when extracellular NPs were rinsed, but the cell kill efficiency was lower than that of any rinse group, which indicated that local temperature rise was the main factor that induced tumour cells to death. Our findings suggest that this high SAR and biocompatible silica-coated Zn<sub>0.5</sub>Fe<sub>2.</sub>O<sub>4</sub> NPs could serve as new agents for magnetic hyperthermia.
DOI: 10.5442/nd000009
title: Supplement to: Nano-optical designs for high efficiency monolithic perovskite-silicon tandem solar cells

description: Perovskite-silicon tandem solar cells allow to overcome the power conversion efficiency limit of conventional silicon solar cells. So far, various textured tandem devices have been presented aiming at improved optical performance, but optimal film growth on surface textured wafers remains challenging. Here we present perovskite-silicon tandem solar cells with periodic nanotextures that offer various advantages without compromising the material quality of solution-processed perovskite layers. We show the reduction of reflection losses in comparison to planar tandems with the devices being less sensitive upon deviations from optimum layer thicknesses. The nanotextures also enable a greatly increased fabrication yield from 50% to 95%. Moreover, the open-circuit voltage is improved by 15 mV due to enhanced optoelectronic properties of the perovskite top cell. Our optically advanced rear reflector with a dielectric buffer layer enables the reduced parasitic absorption at near-infrared wavelengths. As a result, we demonstrate a certified power conversion efficiency of 29.80%.
The data is provided as a ZIP archive containing one subdirectory for each figure in the journal publication and the supporting information. Most of them contain tabular data in csv files or Excel spreadsheets used to create the plots. But also raw data from AFM scans, png images of SEM scans and svg images of GIWAXS scans are provided.
DOI: 10.5442/nd000008
title: PanDDA-analyzed data of a crystallographic fragment screening of F2X-Universal Library vs. AR

description: A crystallographic fragment screening (CFS) has been performed on a spliceosomal yeast protein-protein complex of Aar2 and the RNaseH-like domain of Prp8 (AR). The F2X-Universal Library is a fragment library representing the commercially available chemical space of fragments. 917 fragments have been individually screened via crystal soaking. The datasets that could be successfully auto-processed and auto-refined had been subjected to a Pan-Dataset Density Analysis (PanDDA) (Pearce et al., 2017). This analysis allows to find low occupancy binders. The data has been analyzed in different ways; once all datasets were given as input to PanDDA and once the data was clustered via cluster4x (Ginn, 2020) and the individual clusters were given as input for PanDDA.
After the analysis, in total 269 hits could be identified in the PanDDA event maps. Most fragments cluster in certain regions on the protein surface, which are termed binding sites. Ten binding sites were identified. Some of these binding sites overlap with known protein-protein interactions sites, while others have no known function. These novel binding sites could be potential interaction sites too. Furthermore, due to the repeated binding of individual fragment hits in the same binding site, certain structural overlaps could be observed of fragments. These provide the confirmation of binding modes which offers additional information for further compound development.
The data provided here includes all folders of the different PanDDA-runs in individual tar.gz files. For each run the input (auto-refined structures, fragment structure files) and output data (pandda models and event and Z-maps) is given. Additionally, a directory overview as a PDF is provided to help navigate through the data. With this data, every identified fragment hit can be inspected individually.
DOI: 10.6084/m9.figshare.25158251
title: data

description: 本文采用从国有企业党组织视角出发的面板固定效应模型，考察了非国有股东治理对国有企业治理水平的影响。
DOI: 10.6084/m9.figshare.25158251.v1
title: data

description: 本文采用从国有企业党组织视角出发的面板固定效应模型，考察了非国有股东治理对国有企业治理水平的影响。
DOI: 10.6084/m9.figshare.25160210
title: COVID MANAGEMENT DATABASE.sav

description: This dataset is refered at the perception of 148 users about how COVID19 management was developed at their training club.
DOI: 10.25375/uct.24856713
title: Land cover change maps for land cover classes native vegetation, alien vegetation, and non-vegetated features for 1990 and 2020, respectively.

description: This dataset was used to produce land cover change maps for Figure 3.4 as part of a master's thesis titled- Repeatable methods for classification of alien and native vegetation in the Montane grasslands.Three data entries are included: (1) r script- for coding and visualisation. (2) GeoTIFF with three generalised land cover types for the year 1990 (3) GeoTIFF with three generalised land cover types for the year 2020. This dataset displays three generalised land cover changes (i.e. Non-Vegetated Features, Alien vegetation, and Native vegetation) between 1990 and 2020, using a harmonised Landsat time series.Date of data collection: February 2020Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.<br>
DOI: 10.25375/uct.24856713.v1
title: Land cover change maps for land cover classes native vegetation, alien vegetation, and non-vegetated features for 1990 and 2020, respectively.

description: This dataset was used to produce land cover change maps for Figure 3.4 as part of a master's thesis titled- Repeatable methods for classification of alien and native vegetation in the Montane grasslands.Three data entries are included: (1) r script- for coding and visualisation. (2) GeoTIFF with three generalised land cover types for the year 1990 (3) GeoTIFF with three generalised land cover types for the year 2020. This dataset displays three generalised land cover changes (i.e. Non-Vegetated Features, Alien vegetation, and Native vegetation) between 1990 and 2020, using a harmonised Landsat time series.Date of data collection: February 2020Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.<br>
DOI: 10.6084/m9.figshare.22601141.v1
title: Additional file 17 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

description: Additional file 17: Table S9. PheWAS UKB-MVP meta-analysis results for each index lipid variant at Bonferroni threshold for multiple testing p&lt;=3.5e-8)
DOI: 10.6084/m9.figshare.22601087
title: Additional file 12 of Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis

description: Additional file 12: Table S8. PheWAS UKB-MVP meta-analysis results for each lipid PGS.
DOI: 10.25375/uct.24857535
title: A panel illustrating alien vegetation land cover change (A) and native vegetation land cover change (B) with classes including expansion, loss, and stability for the 1990-2020 timeseries.

description: This dataset was used to produce land cover change maps for Figure 3.5 as part of a master's thesis titled- Repeatable methods for classification of alien and native vegetation in the Montane grasslands.Three data entries are included: (1) r script- for coding and visualisation (2) GeoTIFF with four generalised land cover types during 1990-2020 for alien vegetation and (3) GeoTIFF with four generalised land cover types during 1990-2020 for native vegetation.This dataset illustrates the changes that occurred in both alien and native vegetation as four generalised land cover changes (i.e. Other land cover changes, loss, expansion and stable) between 1990 and 2020, using a harmonised Landsat time series.Date of data collection: February 2020Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.<br>
DOI: 10.25375/uct.24857535.v1
title: A panel illustrating alien vegetation land cover change (A) and native vegetation land cover change (B) with classes including expansion, loss, and stability for the 1990-2020 timeseries.

description: This dataset was used to produce land cover change maps for Figure 3.5 as part of a master's thesis titled- Repeatable methods for classification of alien and native vegetation in the Montane grasslands.Three data entries are included: (1) r script- for coding and visualisation (2) GeoTIFF with four generalised land cover types during 1990-2020 for alien vegetation and (3) GeoTIFF with four generalised land cover types during 1990-2020 for native vegetation.This dataset illustrates the changes that occurred in both alien and native vegetation as four generalised land cover changes (i.e. Other land cover changes, loss, expansion and stable) between 1990 and 2020, using a harmonised Landsat time series.Date of data collection: February 2020Location of data collection: Blyde River Canyon Conservancy and its surrounds, in Mpumalanga/Limpopo Provinces, South Africa.<br>