cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2b6wk0
title: CCDC 2151572: Experimental Crystal Structure Determination

description: Related Article: Pia S. Klee, Yuri Hirano, David B. Cordes, Alexandra M. Z. Slawin, Julia L. Payne|2022|Cryst.Growth Des.|22|3815|doi:10.1021/acs.cgd.2c00187
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b6wl1
title: CCDC 2151573: Experimental Crystal Structure Determination

description: Related Article: Pia S. Klee, Yuri Hirano, David B. Cordes, Alexandra M. Z. Slawin, Julia L. Payne|2022|Cryst.Growth Des.|22|3815|doi:10.1021/acs.cgd.2c00187
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b6wm2
title: CCDC 2151574: Experimental Crystal Structure Determination

description: Related Article: Pia S. Klee, Yuri Hirano, David B. Cordes, Alexandra M. Z. Slawin, Julia L. Payne|2022|Cryst.Growth Des.|22|3815|doi:10.1021/acs.cgd.2c00187
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6637864
title: Slices of ferret brains

description: Image with 4 slices of ferret brains
DOI: 10.5281/zenodo.6637863
title: Slices of ferret brains

description: Image with 4 slices of ferret brains
DOI: 10.5281/zenodo.6637914
title: Supplementary Files

description: Figure S1: Initial fluorescence (F0) (a), Maximum fluorescence (Fm) (b), Variable fluorescence (Fv) (c) Fv/Fm (d), Photosynthetic rate (Pn) (e), Transpiration rate (Tr) (f), Stomatal conductance (GS) (g) and Intercellular carbon dioxide concentration (Ci) (h) for grown at 150 mM salt stress for12, 36 and 60 h that were treated with 0.5 mM γ-aminobutyric acid (GABA) or left untreated.title; Table S1: Effect of various GABA concentrations on maize seedling growth under 150 mmol/L NaCl stress.
DOI: 10.5281/zenodo.6637913
title: Supplementary Files

description: Figure S1: Initial fluorescence (F0) (a), Maximum fluorescence (Fm) (b), Variable fluorescence (Fv) (c) Fv/Fm (d), Photosynthetic rate (Pn) (e), Transpiration rate (Tr) (f), Stomatal conductance (GS) (g) and Intercellular carbon dioxide concentration (Ci) (h) for grown at 150 mM salt stress for12, 36 and 60 h that were treated with 0.5 mM γ-aminobutyric acid (GABA) or left untreated.title; Table S1: Effect of various GABA concentrations on maize seedling growth under 150 mmol/L NaCl stress.
DOI: 10.5281/zenodo.3461726
title: A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN (datasets)

description: The train/validation/test sets used in the study "<strong>A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN</strong>". Preprint: https://arxiv.org/abs/1908.05085 Published paper: https://ieeexplore.ieee.org/document/8970177 The dataset used to create these sets was published in: http://www.mdpi.com/2306-5729/3/2/13 The full dataset is available here: <pre>https://doi.org/10.5281/zenodo.1212478 </pre> The credit for the creation of the dataset goes to Aernouts, Michiel; Berkvens, Rafael; Van Vlaenderen, Koen and Weyn, Maarten.
DOI: 10.5281/zenodo.3461725
title: A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN (datasets)

description: The train/validation/test sets used in the study "<strong>A Reproducible Comparison of RSSI Fingerprinting Localization Methods Using LoRaWAN</strong>". Preprint: https://arxiv.org/abs/1908.05085 Published paper: https://ieeexplore.ieee.org/document/8970177 The dataset used to create these sets was published in: http://www.mdpi.com/2306-5729/3/2/13 The full dataset is available here: <pre>https://doi.org/10.5281/zenodo.1212478 </pre> The credit for the creation of the dataset goes to Aernouts, Michiel; Berkvens, Rafael; Van Vlaenderen, Koen and Weyn, Maarten.
DOI: 10.6084/m9.figshare.20059649
title: scRNA-Seq of mouse immortalized aortic smooth muscle cells treated with IL1b

description: <strong>Methods</strong> Mouse immortalized aortic smooth muscle cells (MOVAS; ATCC cell line CRL-2797) were grown in DMEM supplemented with 10% FBS, 100 U/ml penicillin, 100 μg/ml streptomycin and 200 μg/ml geneticin in a 37 °C incubator with 5% CO2. Cells were cultured in 12-well plates to approximately 70% confluency. Prior to experimental treatments, cells were incubated for 24 h in serum-starvation medium (DMEM supplemented with 0.2% BSA). Subsequently, the growth medium was replaced with serum-starvation medium supplemented with recombinant interleukin-1β (IL-1β; Sino Biological #10139HNAE) at 25 or 50 ng/ml and incubated for a further 24 or 48 h. The different IL-1β treatments were timed to end concurrently and, after trypsinization, the cells were pooled in equal counts to obtain a mixture of cells at different phases of the IL-1β response. As a control treatment, 24 h serum-starved cells were placed in fresh serum starvation medium for a further 48 h. The Chromium Single Cell 3’ Kit (v3 Chemistry; 10x Genomics) was used to prepare scRNA-Seq libraries for control and IL-1β treated cells in separate lanes. Libraries were sequenced on an Illumina NextSeq 550 instrument and reads were processed using the Cell Ranger pipeline (version 3.0.2; 10x Genomics) and the mm10 reference package (version 3.0.0). Additional cell quality filtering was carried out using Seurat (version 3.1.0; PMID 31178118), retaining the cell barcodes with 1000-5000 genes, 2000-12500 UMI-s and &lt;15% mitochondrial reads. <strong>File format</strong> Tab-separated non-sparse matrices of raw counts for scRNA-Seq cells that passed cell QC (described above). Files are compressed with gzip. <strong>Samples</strong> 1) MOVAS_IL1b_24h_48h_pooled [1355 cells (columns) and 31053 genes (rows)] 2) MOVAS_serum_starved_control [1337 cells (columns) and 31053 genes (rows)] <strong>Publication reference</strong> To be added.
DOI: 10.6084/m9.figshare.20059721
title: AA-Pruebadeposito-PSC.xlsx

description: Datos recopilados de Scopues
DOI: 10.6084/m9.figshare.20059721.v1
title: AA-Pruebadeposito-PSC.xlsx

description: Datos recopilados de Scopues
DOI: 10.6084/m9.figshare.20059508
title: Table A1 - A table summarising all VEPs considered in chapter 1.

description: A table summarising all VEPs considered in chapter 1 including their methodology, type, features, training data and component VEPs where known. VEPs not present in Table 1.2 were not included in any analysis from chapter 1. All references in this table are included in the bibliography. <br> Note: File is in .xlsx format and contains external links. ~18KB
DOI: 10.6084/m9.figshare.20059508.v1
title: Table A1 - A table summarising all VEPs considered in chapter 1.

description: A table summarising all VEPs considered in chapter 1 including their methodology, type, features, training data and component VEPs where known. VEPs not present in Table 1.2 were not included in any analysis from chapter 1. All references in this table are included in the bibliography. <br> Note: File is in .xlsx format and contains external links. ~18KB
DOI: 10.5281/zenodo.5719076
title: Risk of bias assessments and support for judgement with ROB 2 tool for the Cochrane Review: Janus kinase inhibitors for the treatment of COVID-19

description: Risk of bias assessments and support for judgement with ROB 2 tool for the Cochrane Review: Janus kinase inhibitors for the treatment of COVID-19.
description: This review is part of the CEOsys project funded by the Network of University Medicine (Nationales Forschungsnetzwerk der Universitätsmedizin (NUM)) by the Federal Ministry of Education and Research of Germany (Bundesministerium für Bildung und Forschung (BMBF)), grant number 01KX2021.
DOI: 10.5281/zenodo.5719075
title: Risk of bias assessments and support for judgement with ROB 2 tool for the Cochrane Review: Janus kinase inhibitors for the treatment of COVID-19

description: Risk of bias assessments and support for judgement with ROB 2 tool for the Cochrane Review: Janus kinase inhibitors for the treatment of COVID-19.
description: This review is part of the CEOsys project funded by the Network of University Medicine (Nationales Forschungsnetzwerk der Universitätsmedizin (NUM)) by the Federal Ministry of Education and Research of Germany (Bundesministerium für Bildung und Forschung (BMBF)), grant number 01KX2021.
DOI: 10.6084/m9.figshare.20059550
title: Table A2 - Summary of self-benchmarks in VEP literature

description: Summary of self-benchmarks in VEP literature and source data for Figure 1.4. This table includes raw benchmarking data from 39 studies including the evaluation data and metric used. <br> Note: This file in in .xlsx format and contains links to external sites <br> ~15KB
DOI: 10.6084/m9.figshare.20059550.v1
title: Table A2 - Summary of self-benchmarks in VEP literature

description: Summary of self-benchmarks in VEP literature and source data for Figure 1.4. This table includes raw benchmarking data from 39 studies including the evaluation data and metric used. <br> Note: This file in in .xlsx format and contains links to external sites <br> ~15KB
DOI: 10.6084/m9.figshare.20059556
title: Table B1 - Summary of all VEPs included in the benchmarking study

description: Summary of all VEPs included in the benchmarking study including category, features and the number of proteins (human, yeast, bacterial, viral) that predictions were successfully generated for. References for all of these VEPs are included in the main thesis bibliography. Note that some of the VEP category assignments may vary from assignments in Chapters 1 and 3 due to alterations in the classification criteria. <br> File is in .xlsx format and contains links to external sites. <br> ~14KB
DOI: 10.6084/m9.figshare.20059556.v1
title: Table B1 - Summary of all VEPs included in the benchmarking study

description: Summary of all VEPs included in the benchmarking study including category, features and the number of proteins (human, yeast, bacterial, viral) that predictions were successfully generated for. References for all of these VEPs are included in the main thesis bibliography. Note that some of the VEP category assignments may vary from assignments in Chapters 1 and 3 due to alterations in the classification criteria. <br> File is in .xlsx format and contains links to external sites. <br> ~14KB
DOI: 10.6084/m9.figshare.20059565
title: Table B2 - Spearman’s correlations between DMS datasets generated by the same group

description: Source data for Figure 2.2. Spearman’s correlations between DMS datasets generated by the same research group. These alternative DMS datasets include altered selective conditions, different fitness assays, positive and negative controls. <br> File is in .xlsx format. <br> ~76KB
DOI: 10.6084/m9.figshare.20059577.v1
title: Table B3 - The assay selected to be most representative of actual protein fitness outcomes for every DMS target

description: The assay selected to be most representative of actual protein fitness outcomes for every DMS target. These assays have the highest average correlation to all VEP scores. References in this table are all included in the main thesis bibliography. <br> This file is in .xlsx format <br> ~12KB
DOI: 10.6084/m9.figshare.20059577
title: Table B3 - The assay selected to be most representative of actual protein fitness outcomes for every DMS target

description: The assay selected to be most representative of actual protein fitness outcomes for every DMS target. These assays have the highest average correlation to all VEP scores. References in this table are all included in the main thesis bibliography. <br> This file is in .xlsx format <br> ~12KB
DOI: 10.6084/m9.figshare.20059586
title: Table B4 - All Spearman’s correlations between the selected DMS assays and variant effect predictors

description: Source data for Figure 2.3. All Spearman’s correlations between the selected DMS assays and variant effect predictors. <br> File is in .xlsx format. <br> ~103KB
DOI: 10.6084/m9.figshare.20059586.v1
title: Table B4 - All Spearman’s correlations between the selected DMS assays and variant effect predictors

description: Source data for Figure 2.3. All Spearman’s correlations between the selected DMS assays and variant effect predictors. <br> File is in .xlsx format. <br> ~103KB
DOI: 10.6084/m9.figshare.20059589
title: Table B5 - The rank scores for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations

description: Source data for Table 2.2. The rank scores for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations based on Spearman’s correlation with the selected DMS datasets. <br> File is in .xlsx format. <br> ~79KB
DOI: 10.6084/m9.figshare.20059589.v1
title: Table B5 - The rank scores for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations

description: Source data for Table 2.2. The rank scores for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations based on Spearman’s correlation with the selected DMS datasets. <br> File is in .xlsx format. <br> ~79KB
DOI: 10.6084/m9.figshare.20059601
title: Table B6 - Rank scores for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations based on Kendall’s Tau

description: Rank scores for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations based on Kendall’s Tau correlation with the selected DMS datasets. <br> File is in .xlsx format. <br> ~79KB
DOI: 10.6084/m9.figshare.20059601.v1
title: Table B6 - Rank scores for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations based on Kendall’s Tau

description: Rank scores for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations based on Kendall’s Tau correlation with the selected DMS datasets. <br> File is in .xlsx format. <br> ~79KB
DOI: 10.6084/m9.figshare.20059604.v1
title: Table B7 - Rank score for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations using mutations only possible by single nucleotide variants.

description: Rank score for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations based on Spearman’s correlation with the selected DMS datasets. This table considers only mutations possible through single nucleotide variants. <br> File is in .xlsx format. <br> ~77KB
DOI: 10.6084/m9.figshare.20059604
title: Table B7 - Rank score for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations using mutations only possible by single nucleotide variants.

description: Rank score for all VEPs in predicting human, yeast, bacterial and viral pathogenic mutations based on Spearman’s correlation with the selected DMS datasets. This table considers only mutations possible through single nucleotide variants. <br> File is in .xlsx format. <br> ~77KB
DOI: 10.6084/m9.figshare.20059607
title: Table B8 - Description of each DMS dataset displayed in Figure 2.4

description: Description of each DMS dataset displayed in Figure 2.4. All references in this table are included in the main thesis bibliography. <br> File is in .xlsx format. <br> ~72KB
DOI: 10.6084/m9.figshare.20059607.v1
title: Table B8 - Description of each DMS dataset displayed in Figure 2.4

description: Description of each DMS dataset displayed in Figure 2.4. All references in this table are included in the main thesis bibliography. <br> File is in .xlsx format. <br> ~72KB
DOI: 10.6084/m9.figshare.20059610
title: Table B9 - List of PDB structures selected to be representative of each protein for VEPs that required a PDB identifier

description: List of PDB structures selected to be representative of each protein for VEPs that required a PDB identifier. Where possible, these structures have a resolution of &lt;3Å and cover as many amino acids as possible. <br> File is in .xlsx format <br> ~14KB
DOI: 10.6084/m9.figshare.20059610.v1
title: Table B9 - List of PDB structures selected to be representative of each protein for VEPs that required a PDB identifier

description: List of PDB structures selected to be representative of each protein for VEPs that required a PDB identifier. Where possible, these structures have a resolution of &lt;3Å and cover as many amino acids as possible. <br> File is in .xlsx format <br> ~14KB
DOI: 10.6084/m9.figshare.20059616
title: Table C1 - Summary of included VEPs that were not present in Chapter 2

description: Summary of VEPs included in this analysis that were not previously included in Chapter 2. All references in this table are included in the main thesis bibliography. <br> File is in .xlsx format and contains links to external sites. <br> ~11KB
DOI: 10.6084/m9.figshare.20059616.v1
title: Table C1 - Summary of included VEPs that were not present in Chapter 2

description: Summary of VEPs included in this analysis that were not previously included in Chapter 2. All references in this table are included in the main thesis bibliography. <br> File is in .xlsx format and contains links to external sites. <br> ~11KB
DOI: 10.6084/m9.figshare.20059622
title: Table C2 - Human VEP rank scores using the Spearman’s correlation-based scoring method

description: Human VEP rank scores using the Spearman’s correlation-based scoring method described in chapter 2 including all new predictors and DMS data. <br> File is in .xlsx format. <br> ~13KB
DOI: 10.6084/m9.figshare.20059622.v1
title: Table C2 - Human VEP rank scores using the Spearman’s correlation-based scoring method

description: Human VEP rank scores using the Spearman’s correlation-based scoring method described in chapter 2 including all new predictors and DMS data. <br> File is in .xlsx format. <br> ~13KB
DOI: 10.6084/m9.figshare.20059625
title: Table C3 - Rank score of VEPs using DMS data that excludes the training data of VARITY.

description: Rank score of VEPs using DMS data that excludes the training data of VARITY. <br> File is in .xlsx format. <br> ~11KB
DOI: 10.6084/m9.figshare.20059625.v1
title: Table C3 - Rank score of VEPs using DMS data that excludes the training data of VARITY.

description: Rank score of VEPs using DMS data that excludes the training data of VARITY. <br> File is in .xlsx format. <br> ~11KB
DOI: 10.6084/m9.figshare.20059628
title: Table D1 - Effect sizes, p-values and ranks for all AAindex properties at different protein locations

description: Effect sizes, p-values and ranks for all AAindex properties at different protein locations. A reported p-value of 0 is &lt;2.225e-308. <br> File is in .xlsx format <br> ~1059KB
DOI: 10.6084/m9.figshare.20059628.v1
title: Table D1 - Effect sizes, p-values and ranks for all AAindex properties at different protein locations

description: Effect sizes, p-values and ranks for all AAindex properties at different protein locations. A reported p-value of 0 is &lt;2.225e-308. <br> File is in .xlsx format <br> ~1059KB
DOI: 10.17630/85286f40-a781-4c34-aaa3-abd6fcfb965f
title: Amplitude Characteristics of Littoral Sea Clutter Data at K-band and W-band (dataset)

description: Files correspond to data used for the generation of the figures in this manuscript. In each dataset, each column contains the log magnitude values of a single range profile and successive columns correspond to the subsequent range profiles. Dataset_1 and Dataset_2 are 24 GHz radar data looking towards the shore and looking at the open sea respectively. Dataset_3 and Dataset_4 are the corresponding 94 GHz data.
DOI: 10.5281/zenodo.6583518
title: Towards a DNA barcode library for Madagascar's threatened ichthyofauna

description: Supplementary documents, trees and curated DNA barcode library dataset for freshwater and marine fishes from Madagascar, in XLSX, tab-delimited and Fasta formats.
DOI: 10.5281/zenodo.6637871
title: Dataset: Gauze detection and segmentation in minimally invasive surgery video using convolutional neural networks

description: Dataset of the <strong>Gauze detection and segmentation in minimally invasive surgery video using convolutional neural networks</strong> article. Further information is available in the README file.
description: This research was funded by the Spanish Ministry of Science, Innovation and Universities, grant number PID2019-111023RB-C33
DOI: 10.5281/zenodo.6637870
title: Dataset: Gauze detection and segmentation in minimally invasive surgery video using convolutional neural networks

description: Dataset of the <strong>Gauze detection and segmentation in minimally invasive surgery video using convolutional neural networks</strong> article. Further information is available in the README file.
description: This research was funded by the Spanish Ministry of Science, Innovation and Universities, grant number PID2019-111023RB-C33
DOI: 10.6084/m9.figshare.20059844
title: Multimode Passive BMS Data Analysis

description: Data analysis of the project Multimode Capable Passive BMS
DOI: 10.5281/zenodo.6638036
title: GTN Tutorial: Data Manipulation Olympics

description: Input datasets for the Galaxy Tutorial on Data manipulation
DOI: 10.5281/zenodo.6638025
title: Supplementary material "Diagnosing the interstellar medium of galaxies with far-infrared emission lines I. The [C II] 158 μm line at z ∼ 0"

description: Repository with supplementary material to the paper: "Diagnosing the interstellar medium of galaxies with far-infrared emission lines I. The [C II] 158 μm line at z ∼ 0" published in Astronomy & Astrophysics. It contains the final datasets of luminosity predictions for the [C II] luminosity in the different EAGLE galaxies.
DOI: 10.5281/zenodo.6638024
title: Supplementary material "Diagnosing the interstellar medium of galaxies with far-infrared emission lines I. The [C II] 158 μm line at z ∼ 0"

description: Repository with supplementary material to the paper: "Diagnosing the interstellar medium of galaxies with far-infrared emission lines I. The [C II] 158 μm line at z ∼ 0" published in Astronomy & Astrophysics. It contains the final datasets of luminosity predictions for the [C II] luminosity in the different EAGLE galaxies.
DOI: 10.14278/rodare.1694
title: Data publication: Effective electronic forces and potentials from ab initio path integral Monte Carlo simulations

description: This repository contains all path integral Monte Carlo (PIMC) results for the article "Effective electronic forces and potentials from ab initio path integral Monte Carlo simulations" in the same units as they are plotted in Figs. 4, 5 and 8.
DOI: 10.14278/rodare.1693
title: Data publication: Effective electronic forces and potentials from ab initio path integral Monte Carlo simulations

description: This repository contains all path integral Monte Carlo (PIMC) results for the article "Effective electronic forces and potentials from ab initio path integral Monte Carlo simulations" in the same units as they are plotted in Figs. 4, 5 and 8.
DOI: 10.7910/dvn/9egvpv
title: Relevant solutions to fight humanity's most pressing issues unfold at the intersection of multiple systems beyond a single industry.

description: Master Thesis MSc Digital Business Administration, BFH 2022.
DOI: 10.5519/qd.9hfuehu2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (324 records)