cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6950488
title: MIMIC PERform Datasets

description: <strong>Overview</strong> The MIMIC PERform datasets contain physiological signals recorded from critically-ill patients during routine clinical care. Specifically, the datasets contain the following signals: electrocardiogram (ECG) photoplethysmogram (PPG) impedance pneumography (imp), also known as respiratory (resp) The datasets were extracted from the MIMIC III Waveform Database. Further details of the datasets are provided in the documentation accompanying the ppg-beats project, which is available at: https://ppg-beats.readthedocs.io/en/latest/ . <strong>Datasets</strong> The following datasets are available: <strong>MIMIC PERform AF Dataset: </strong>Recordings from 35 critically-ill adults during routine clinical care, categorised as either AF (atrial fibrillation, 19 subjects) or non-AF (16 subjects). Matlab format (AF subjects, non-AF subjects) WFDB format (AF subjects, non-AF subjects) CSV format (AF subjects, non-AF subjects) <strong>MIMIC PERform Training Dataset: </strong>Recordings from 200 patients during routine clinical care, who are categorised as either adults (100 subjects) or neonates (100 subjects). Matlab format (all data, adults, neonates) WFDB format (all data, adults, neonates) CSV format (all data, adults, neonates) <strong>MIMIC PERform Testing Dataset: </strong>Recordings from 200 patients during routine clinical care, who are categorised as either adults (100 subjects) or neonates (100 subjects). Matlab format (all data, adults, neonates) WFDB format (all data, adults, neonates) CSV format (all data, adults, neonates) <strong>Citation</strong> When using these datasets, please cite the following publication: Charlton PH <em>et al.</em> <strong>Detecting beats in the photoplethysmogram: benchmarking open-source algorithms</strong>. <em>Physiological Measurement</em> 2022. DOI: 10.1088/1361-6579/ac826d <strong>Acknowledgments</strong> Each dataset is accompanied by a licence which acknowledges the source(s) of the data - please see the individual licenses for these acknowledgements.
description: This work was supported by British Heart Foundation (BHF) grants [FS/20/20/34626] and [PG/15/104/31913], and an EPSRC Impact Acceleration Award.
DOI: 10.6084/m9.figshare.20338536.v4
title: TNBC Data from Wu et al, 2021

description: Anndata format of the TNBC data set generated by Wu et al, 2021, together with inferred cytokine activity, as described in Dimitrov et al, 2022.<br> <br> <br> Wu, S.Z., Al-Eryani, G., Roden, D.L., Junankar, S., Harvey, K., Andersson, A., Thennavan, A., Wang, C., Torpy, J.R., Bartonicek, N. and Wang, T., 2021. A single-cell and spatially resolved atlas of human breast cancers. <em>Nature genetics</em>, <em>53</em>(9), pp.1334-1347.<br> <br> Dimitrov, D., Türei, D., Garrido-Rodriguez, M., Burmedi, P.L., Nagai, J.S., Boys, C., Ramirez Flores, R.O., Kim, H., Szalai, B., Costa, I.G. and Valdeolivas, A., 2022. Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data. <em>Nature Communications</em>, <em>13</em>(1), pp.1-13.
DOI: 10.5281/zenodo.6861335
title: A comparison of different methods of identifying publications related to the United Nations Sustainable Development Goals: Case Study of SDG 13: Climate Action

description: This data set pertains to the following research article: Purnell, P.J. (2022) <em>A comparison of different methods of identifying publications related to the United Nations Sustainable Development Goals: Case Study of SDG 13 – Climate Action</em>. arXiv:2201.02006
DOI: 10.5281/zenodo.6861334
title: A comparison of different methods of identifying publications related to the United Nations Sustainable Development Goals: Case Study of SDG 13: Climate Action

description: This data set pertains to the following research article: Purnell, P.J. (2022) <em>A comparison of different methods of identifying publications related to the United Nations Sustainable Development Goals: Case Study of SDG 13 – Climate Action</em>. arXiv:2201.02006
DOI: 10.6084/m9.figshare.20089700
title: Papalexi 2021 ECCITE-seq

description: MuData object of https://www.nature.com/articles/s41588-021-00778-2 <br> Generated as: https://github.com/theislab/pertpy-datasets/tree/main/Papalexi, E., Mimitou, E.P., Butler, A.W. et al. ECCITE
DOI: 10.6084/m9.figshare.20089700.v1
title: Papalexi 2021 ECCITE-seq

description: MuData object of https://www.nature.com/articles/s41588-021-00778-2 <br> Generated as: https://github.com/theislab/pertpy-datasets/tree/main/Papalexi, E., Mimitou, E.P., Butler, A.W. et al. ECCITE
DOI: 10.23728/fmi-b2share.96749320daea4d44b4adb1c38cf55680
title: Continuous N2O and CO2 fluxes by Eddy Covariance technique on a shallow drained agricultural boreal peatland

description: This package contains data from a drained agricultural boreal peatland for grass silage in Northern Finland. The field, located in Ruukki (N64°41.039' E25°6.379'), has a shallow peat depth of 15-30cm. Eddy-covariance measurements cover the period 5th of November 2019 to 31st December 2021. EC_CO2_fluxes.csv contains the gapfilled 30-min mean CO2 fluxes (NEE) and its components (GPP and respiration). EC_N2O_fluxes.csv contains the ungapfilled 30-min mean N2O fluxes and friction velocity. Metadata.csv contains the 30-min means of meteorological and soil variables from the site. Daily_precipitation.csv contains the daily sums of precipitation. Field_management.csv contains information on field management events (fertilization, harvest etc.).
DOI: 10.5281/zenodo.6812500
title: Appendix for "Don't DIY: Automatically transform legacy Python code to support structural pattern matching"

description: This is the appendix for paper "Don’t DIY: Automatically transform legacy Python code to support structural pattern matching" presented in SCAM 2022. <strong>Abstract</strong> <em>As data becomes more and more complex as technology evolves, the need to support more complex data types in programming languages has grown. However, without proper storage and manipulation capabilities, handling such data can result in hard-to-read, difficult-to-maintain code. Therefore, programming languages continuously evolve to provide more and more ways to handle complex data. Python 3.10 introduced structural pattern matching, which serves this exact purpose: we can split complex data into relevant parts by examining its structure, and store them for later processing. Previously, we could only use the traditional conditional branching, which could have led to long chains of nested conditionals. Maintaining such code fragments can be cumbersome. In this paper, we present a complete framework to solve the aforementioned problem. Our software is capable of examining Python source code and transforming relevant conditionals into structural pattern matching. Moreover, it is able to handle nested conditionals and it is also easily extensible, thus the set of possible transformations can be easily increased.</em>
DOI: 10.5281/zenodo.6812499
title: Appendix for "Don't DIY: Automatically transform legacy Python code to support structural pattern matching"

description: This is the appendix for paper "Don’t DIY: Automatically transform legacy Python code to support structural pattern matching" presented in SCAM 2022. <strong>Abstract</strong> <em>As data becomes more and more complex as technology evolves, the need to support more complex data types in programming languages has grown. However, without proper storage and manipulation capabilities, handling such data can result in hard-to-read, difficult-to-maintain code. Therefore, programming languages continuously evolve to provide more and more ways to handle complex data. Python 3.10 introduced structural pattern matching, which serves this exact purpose: we can split complex data into relevant parts by examining its structure, and store them for later processing. Previously, we could only use the traditional conditional branching, which could have led to long chains of nested conditionals. Maintaining such code fragments can be cumbersome. In this paper, we present a complete framework to solve the aforementioned problem. Our software is capable of examining Python source code and transforming relevant conditionals into structural pattern matching. Moreover, it is able to handle nested conditionals and it is also easily extensible, thus the set of possible transformations can be easily increased.</em>
DOI: 10.6084/m9.figshare.17854808
title: Organic farm bedded pack system microbiomes: A case study with comparisons to similar and different bedded packs

description: amplicon sequencing data and associated metadata of dairy cow bedding<br>
DOI: 10.6084/m9.figshare.17854808.v1
title: Organic farm bedded pack system microbiomes: A case study with comparisons to similar and different bedded packs

description: amplicon sequencing data and associated metadata of dairy cow bedding<br>
DOI: 10.6084/m9.figshare.20418752
title: Comparison of Born–Oppenheimer approximation and electron-nuclear correlation

description: The electronic structure of molecules is routinely examined for static arrangements of point nuclei, which is a highly useful premise but not without certain limitations. Here, the electron-nuclear correlation energy is analysed in the context of the quantised nuclear energy associated with the chemical bond vibrations. To this end, accurate calculations of the ground state of a hydrogen atom (including basis functions in the energy continuum) whose nucleus is confined by a quadratic potential well, are performed for all values of the spring constant. The numerically exact ground state energy is compared to the results obtained within the Born–Oppenheimer approximation and within the uncorrelated product wavefunction ansatz. The electron-nuclear correlation energy is found to be smaller in magnitude than the electron correlation in two-electron atomic systems, in the limit of weak nuclear confinement, and is further reduced by at least an order of magnitude in the limit of strong confinement. In all cases, however, the electron-nuclear correlation energy is found to be significantly larger than the error of the Born–Oppenheimer approximation. Moreover, the error of the Born–Oppenheimer approximation is found to persist within the limit of infinite nuclear confinement. Insight into the electron-nuclear correlation energy from this study will help incorporate the nuclear quantum effects into the electronic structure theories.
DOI: 10.6084/m9.figshare.20418752.v1
title: Comparison of Born–Oppenheimer approximation and electron-nuclear correlation

description: The electronic structure of molecules is routinely examined for static arrangements of point nuclei, which is a highly useful premise but not without certain limitations. Here, the electron-nuclear correlation energy is analysed in the context of the quantised nuclear energy associated with the chemical bond vibrations. To this end, accurate calculations of the ground state of a hydrogen atom (including basis functions in the energy continuum) whose nucleus is confined by a quadratic potential well, are performed for all values of the spring constant. The numerically exact ground state energy is compared to the results obtained within the Born–Oppenheimer approximation and within the uncorrelated product wavefunction ansatz. The electron-nuclear correlation energy is found to be smaller in magnitude than the electron correlation in two-electron atomic systems, in the limit of weak nuclear confinement, and is further reduced by at least an order of magnitude in the limit of strong confinement. In all cases, however, the electron-nuclear correlation energy is found to be significantly larger than the error of the Born–Oppenheimer approximation. Moreover, the error of the Born–Oppenheimer approximation is found to persist within the limit of infinite nuclear confinement. Insight into the electron-nuclear correlation energy from this study will help incorporate the nuclear quantum effects into the electronic structure theories.
DOI: 10.6084/m9.figshare.20418642
title: DEA Efficiencies and QS Dataset

description: The dataset contains the efficiencies of the DMUs (Global Universities) and the indicators from the QS World University rankings.
DOI: 10.5281/zenodo.6916351
title: Supporting Information for Article "MarINvaders: A web toolkit of marine species for use in environmental assessments"

description: An Excel file with the overview of number of species per ecoregion and classes of alien species is available online. The code for querying and harmonizing the databases was published as a separate package (see Lonka et al. (2021))and available with an open source (GPL v3) license at https://gitlab.com/marinvaders/marinvaders.
DOI: 10.5281/zenodo.6424244
title: DATASET: Using auxiliary electrochemical working electrodes as probe during contact glow discharge electrolysis: A proof of concept study

description: This project contains all the data shown in the figures of the manuscript (and the supporting information) entitled:<br> 'Using auxiliary electrochemical working electrodes as probe during contact glow discharge electrolysis: A proof of concept study'<br> (doi:10.26434/chemrxiv-2022-0v5sc). The data to each figure is provided in a subfolder where each curve is stored as a single CSV.<br> The filenames contain labels describing the curves.
DOI: 10.34740/kaggle/dsv/4020080
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.6884779
title: Dataset related to article "Sport Activity and Clinical Outcomes after Hip Arthroscopy with Acetabular Microfractures at a Minimum 2-Year Follow-Up: A Matched-Pair Controlled Study".

description: This record contains raw data related to article “ Sport Activity and Clinical Outcomes after Hip Arthroscopy with Acetabular Microfractures at a Minimum 2-Year Follow-Up: A Matched-Pair Controlled Study" Abstract: Background: Acetabular microfractures for cartilage lesions have been shown to be a safe procedure able to improve patient reported outcomes (PROs). Nevertheless, the return to sport activity rate represents a crucial outcome to be investigated in these young athletic patients. Methods: Patients undergoing acetabular microfracture for full chondral acetabular lesions were compared to a 1:1 matched-pair by age and gender control group undergoing hip arthroscopy without microfractures. Clinical assessment was performed with PROs and participation in sports in terms of type and level of activities was evaluated preoperatively and at 2-years follow-up. Results: A total of 62 patients with an average age of 35.1 ± 8.1 (microfracture group) and 36.4 ± 6.3 (control group) were included. In both groups, the average values of PROs significantly increased from preoperatively to the last follow-up. There was no significant difference between the two groups in the number of patients playing at the amateur and elite level preoperatively and at the last follow-up. Conclusions: Microfractures for the management of full-thickness acetabular chondral defect provides good clinical results at a minimum follow-up of two years, which are not inferior to a matched-pair control group. Patients undergoing this procedure are likely able to return at the same level of sport before surgery.
DOI: 10.5281/zenodo.6884778
title: Dataset related to article "Sport Activity and Clinical Outcomes after Hip Arthroscopy with Acetabular Microfractures at a Minimum 2-Year Follow-Up: A Matched-Pair Controlled Study".

description: This record contains raw data related to article “ Sport Activity and Clinical Outcomes after Hip Arthroscopy with Acetabular Microfractures at a Minimum 2-Year Follow-Up: A Matched-Pair Controlled Study" Abstract: Background: Acetabular microfractures for cartilage lesions have been shown to be a safe procedure able to improve patient reported outcomes (PROs). Nevertheless, the return to sport activity rate represents a crucial outcome to be investigated in these young athletic patients. Methods: Patients undergoing acetabular microfracture for full chondral acetabular lesions were compared to a 1:1 matched-pair by age and gender control group undergoing hip arthroscopy without microfractures. Clinical assessment was performed with PROs and participation in sports in terms of type and level of activities was evaluated preoperatively and at 2-years follow-up. Results: A total of 62 patients with an average age of 35.1 ± 8.1 (microfracture group) and 36.4 ± 6.3 (control group) were included. In both groups, the average values of PROs significantly increased from preoperatively to the last follow-up. There was no significant difference between the two groups in the number of patients playing at the amateur and elite level preoperatively and at the last follow-up. Conclusions: Microfractures for the management of full-thickness acetabular chondral defect provides good clinical results at a minimum follow-up of two years, which are not inferior to a matched-pair control group. Patients undergoing this procedure are likely able to return at the same level of sport before surgery.
DOI: 10.25505/fiz.icsd.cc2cnbcr
title: CSD 2194284: Experimental Crystal Structure Determination

description: Related Article: Antoine Maignan and Christine Martin|2022|ICSD Communication|||
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20418792
title: Positive effects of projected climate change on post-disturbance forest regrowth rates in northeastern North American boreal forests

description: Virtual plots dataset and R codes used to train the random forest model for the paper entitled "<strong>Positive effects of projected climate change on post-disturbance forest regrowth rates in northeastern North American boreal forests</strong>."
DOI: 10.5281/zenodo.6949135
title: Calibration data for IMACLIM-R electricity nexus - alpha version

description: First release of the calibration data for the electricity nexus of IMACLIM-R (https://www.iamconsortium.org/resources/model-resources/imaclim-r/). Ongoing/missing: operation and maintenance costs installed capacity
DOI: 10.5281/zenodo.6949134
title: Calibration data for IMACLIM-R electricity nexus - alpha version

description: First release of the calibration data for the electricity nexus of IMACLIM-R (https://www.iamconsortium.org/resources/model-resources/imaclim-r/). Ongoing/missing: operation and maintenance costs installed capacity
DOI: 10.6084/m9.figshare.20418735
title: Agent-Based Reinforcement Learning Model of Burglary (ARLMB) datasets for article: Learning the Rational Choice Perspective: A Reinforcement Learning Approach to Simulating Offender Behaviours in Criminological Agent-Based Models

description: This data deposit contains synthetically generated crime data from the Agent-Based Reinforcement Learning Model of Burglary developed for the research article: Learning the Rational Choice Perspective:<em> A Reinforcement Learning Approach to Simulating Offender Behaviours in Criminological Agent-Based Models</em> <br> The data directory is as follows: <br> Model/ Data_Analysis__Notebook.ipynb MC1_Data MC2_Data MC3_Data <br> The <strong>Data_Analysis__Notebook.ipynb</strong> is the jupyter notebook used to produce the analysis within the article. This notebook requires <strong>python 3.* </strong>with packages such as <strong>matplotlib, seaborn, numpy, pandas, plotly, scipy</strong> to run. <br> The MC1, MC2 and MC3 folders contain the .txt files containing the data outputs used for analysis in the article. Where MC1 = Experiment Condition 1 in the article. <br> Each column of the data is described as follows: <br> <br> AgentID: A unique agent identifier. Action: The current action an agent has chosen can be one of [OFFEND, DON'T OFFEND, MOVE]. Area: The locality in which the above action has taken place. Target_Attractiveness: The target attractiveness value of the property that has been victimised. Target_Reward: The reward at the property that has been victimised. Target_Risk: The risk surrounding the property that has been victimised. Target_Effort: The effort of the property victimised by the specific offender agent. Total_Cumulative_Reward: The total sum of Target_Attractiveness acquired by the offender agent. xAxisPos: The x-axis position of the cell the offender agent is currently in. zAxisPos: The y-axis position of the cell the offender agent is currently in. Zone_Travelled_To: The locality the offender agent is currently travelling towards. Episode: The current episode. Distance_To_Home: The normalised Euclidean distance to the offender agent's home node from the current victimised target. Distance_To_Next_Node: The normalised Euclidean distance to the next routine activity node from the current victimised target. Timestep: The current discrete time point. Target_Cumulative_Reward: The total amount of Target_Attractiveness the offender agent wants to achieve. <br> <br> <br> <br> <br> <br> <br> <br> <br> <br>
DOI: 10.34740/kaggle/dsv/4020131
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.19165280.v5
title: mb.final.repeat-sort-mask.fa

description: mb-genome
DOI: 10.5281/zenodo.6944790
title: Dataset for the manuscript of the "Permeability evolution of methane and water vapor when simultaneously transporting in shale"

description: Dataset for the manuscript of the "Permeability evolution of methane and water vapor when simultaneously transporting in shale"
DOI: 10.5281/zenodo.6944789
title: Dataset for the manuscript of the "Permeability evolution of methane and water vapor when simultaneously transporting in shale"

description: Dataset for the manuscript of the "Permeability evolution of methane and water vapor when simultaneously transporting in shale"
DOI: 10.5281/zenodo.6952802
title: Results of Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund

description: These files contain the figures and modelled dataset used in the article "Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund".
DOI: 10.5281/zenodo.6952801
title: Results of Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund

description: These files contain the figures and modelled dataset used in the article "Secondary aerosol formation in marine Arctic environments: a model measurement comparison at Ny-Ålesund".