cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5774827
title: Data and code for "Singlet and triplet Cooper pair splitting in hybrid superconducting nanowires"

description: This folder contains the raw data and code used to generate the plots for the paper <em>Singlet and triplet Cooper pair splitting in hybrid superconducting nanowires</em> (arXiv: 2205.03458). To run the Jupyter notebooks, install Anaconda and execute: <pre><code class="language-bash">conda env create -f cps-exp.yml</code></pre> followed by: <pre><code class="language-bash">conda activate cps-exp</code></pre> for the experiment data, or <pre><code class="language-bash">conda env create -f cps-theory.yml</code></pre> and similarly <pre><code class="language-bash">conda activate cps-theory</code></pre> for the theory plots.<br> Finally, <pre><code class="language-bash">jupyter notebook</code></pre> to launch the corresponding notebook. Raw data are stored in netCDF (.nc) format. The files are directly exported by the data acquisition package QCoDeS and can be read as an xarray Dataset.
DOI: 10.5281/zenodo.7334270
title: Data and code for "Singlet and triplet Cooper pair splitting in hybrid superconducting nanowires"

description: This folder contains the raw data and code used to generate the plots for the paper <em>Singlet and triplet Cooper pair splitting in hybrid superconducting nanowires</em> (arXiv: 2205.03458). To run the Jupyter notebooks, install Anaconda and execute: <pre><code class="language-bash">conda env create -f cps-exp.yml</code></pre> followed by: <pre><code class="language-bash">conda activate cps-exp</code></pre> for the experiment data, or <pre><code class="language-bash">conda env create -f cps-theory.yml</code></pre> and similarly <pre><code class="language-bash">conda activate cps-theory</code></pre> for the theory plots.<br> Finally, <pre><code class="language-bash">jupyter notebook</code></pre> to launch the corresponding notebook. Raw data are stored in netCDF (.nc) format. The files are directly exported by the data acquisition package QCoDeS and can be read as an xarray Dataset.
DOI: 10.5281/zenodo.7334918
title: Predictive simulation of sit-to-stand based on reflexive-controllers

description: Data used in the analyses of the paper. There is a file for each single parameter analyzed (hip_angle, ankle _angle , knee _angle , SOL_EMG, TA _EMG, RF_EMG , BF_EMG , VAS_EMG , GAS_EMG , GLU_EMG , seat reaction force, and feet reaction force) and per type (experimental, simulations for 4-phases, and simulations for 2-phases controller). All EMGs are pre-processed and presented as envelopes. Experimental files have 13 subjects, 4-phases controller files have 4 successful STS simulations, and 2-phases controller files have 8 successful STS simulations. All files are length-normalized to 100 samples.
DOI: 10.5281/zenodo.7334917
title: Predictive simulation of sit-to-stand based on reflexive-controllers

description: Data used in the analyses of the paper. There is a file for each single parameter analyzed (hip_angle, ankle _angle , knee _angle , SOL_EMG, TA _EMG, RF_EMG , BF_EMG , VAS_EMG , GAS_EMG , GLU_EMG , seat reaction force, and feet reaction force) and per type (experimental, simulations for 4-phases, and simulations for 2-phases controller). All EMGs are pre-processed and presented as envelopes. Experimental files have 13 subjects, 4-phases controller files have 4 successful STS simulations, and 2-phases controller files have 8 successful STS simulations. All files are length-normalized to 100 samples.
DOI: 10.5281/zenodo.7324822
title: Document-to-document relevant assessment for TREC Genomics Track 2005

description: Here we present a table with document-to-document relevance assessment judgements on a subset of the TREC Genomics Track 2005 which corresponds to document-to-topic relevance assessments. This data was produced by four annotators to make it possible to analyze inter-annotator agreements as part of our future work. The data was produced with and in-house annotation tool tailored to the initial TREC data and the task at hand. The "raw data document evaluation" contains six columns, first row consecutive id, second original TREC topic, third PubMed Id used as reference document, fourth PMID used to evaluate the relevance wrt the reference document, fifth the relevance score (2 definitely relevant, 1 partially relevant, 0 non-relevant), and sixth annotator id. <strong>Acknowledgements</strong> This work is part of the STELLA project funded by DFG (project no. 407518790). This work was supported by the BMBF-funded de.NBI Cloud within the German Network for Bioinformatics Infrastructure (de.NBI) (031A532B, 031A533A, 031A533B, 031A534A, 031A535A, 031A537A, 031A537B, 031A537C, 031A537D, 031A538A).
DOI: 10.5281/zenodo.7316236
title: Document-to-document relevant assessment for TREC Genomics Track 2005

description: Here we present a table with document-to-document relevance assessment judgements on a subset of the TREC Genomics Track 2005 which corresponds to document-to-topic relevance assessments. This data was produced by four annotators to make it possible to analyze inter-annotator agreements as part of our future work. The data was produced with and in-house annotation tool tailored to the initial TREC data and the task at hand. The "raw data document evaluation" contains six columns, first row consecutive id, second original TREC topic, third PubMed Id used as reference document, fourth PMID used to evaluate the relevance wrt the reference document, fifth the relevance score (2 definitely relevant, 1 partially relevant, 0 non-relevant), and sixth annotator id. <strong>Acknowledgements</strong> This work is part of the STELLA project funded by DFG (project no. 407518790). This work was supported by the BMBF-funded de.NBI Cloud within the German Network for Bioinformatics Infrastructure (de.NBI) (031A532B, 031A533A, 031A533B, 031A534A, 031A535A, 031A537A, 031A537B, 031A537C, 031A537D, 031A538A).
DOI: 10.5281/zenodo.7335165
title: SciExpeM - 10.5281/zenodo.7335165

description: Xiao, Hua; Valera-Medina, Agustin; Bowen, Philip J - Energy, 2017, (140), 125-135
DOI: 10.5281/zenodo.7335164
title: SciExpeM - 10.5281/zenodo.7335165

description: Xiao, Hua; Valera-Medina, Agustin; Bowen, Philip J - Energy, 2017, (140), 125-135
DOI: 10.5519/qd.mwqouig8
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1321 records)
DOI: 10.5281/zenodo.7327711
title: Antarctic Sea Ice Thickness Estimates from CryoSat-2: 2010-2021

description: <strong>*Preliminary data associated with manuscript submission to The Cryosphere*</strong> Gridded estimates of Antarctic sea ice physical properties derived from CryoSat-2 Baseline-D SAR and SARIn data spanning July 2010 through August 2021. Data are generated using the CryoSat-2 Waveform-Fitting method for Antarctic sea ice (CS2WFA). Files include: CS2WFA_25km_YYYYMM.nc: Monthly mean values gridded on the NSIDC 25km polar stereographic grid. Each file represents 1 month of data (134 files total). Each monthly file contains: latitude, longitude, and time (in months since January 2000) Grids of retrieved snow depth, snow freeboard, ice freeboard, and sea ice concentration Grids of seasonal snow, sea ice, and seawater density Grids of sea ice thickness and estimated thickness uncertainty, as well as thickness estimated using a 70% threshold retracker and using a zero-ice-freeboard assumption.
DOI: 10.5281/zenodo.7327710
title: Antarctic Sea Ice Thickness Estimates from CryoSat-2: 2010-2021

description: <strong>*Preliminary data associated with manuscript submission to The Cryosphere*</strong> Gridded estimates of Antarctic sea ice physical properties derived from CryoSat-2 Baseline-D SAR and SARIn data spanning July 2010 through August 2021. Data are generated using the CryoSat-2 Waveform-Fitting method for Antarctic sea ice (CS2WFA). Files include: CS2WFA_25km_YYYYMM.nc: Monthly mean values gridded on the NSIDC 25km polar stereographic grid. Each file represents 1 month of data (134 files total). Each monthly file contains: latitude, longitude, and time (in months since January 2000) Grids of retrieved snow depth, snow freeboard, ice freeboard, and sea ice concentration Grids of seasonal snow, sea ice, and seawater density Grids of sea ice thickness and estimated thickness uncertainty, as well as thickness estimated using a 70% threshold retracker and using a zero-ice-freeboard assumption.
DOI: 10.6084/m9.figshare.15124647
title: Data from: Mycorrhizal symbiosis alleviates plant water deficit within and across generations via phenotypic plasticity.

description: Experimental data
DOI: 10.6084/m9.figshare.15124647.v3
title: Data from: Mycorrhizal symbiosis alleviates plant water deficit within and across generations via phenotypic plasticity.

description: Experimental data
DOI: 10.15472/j7yzrc
title: Listado de especies del Monte submarino Bajo Navegador en el Distrito Nacional de Manejo Integrado de Yuruparí

description: Se presenta un listado de especies observadas en el monte submarino Bajo Navegador, el más somero de las 18 cadenas de montañas submarinas que se encuentran en la dorsal Yuruparí - Malpelo, área marina protegida del Pacífico Este Tropical (PET), a partir de cuatro expediciones realizadas en los años 2019, 2021 y 2022.
DOI: 10.5281/zenodo.7335184
title: SciExpeM - 10.5281/zenodo.7335184

description: Karimi, Miad; Ochs, Bradley, 0000-0003-1759-5701; Liu, Zefang; Ranjan, Devesh; Sun, Wenting - Combustion And Flame, 2019, (204), 304-319
DOI: 10.5281/zenodo.7335183
title: SciExpeM - 10.5281/zenodo.7335184

description: Karimi, Miad; Ochs, Bradley, 0000-0003-1759-5701; Liu, Zefang; Ranjan, Devesh; Sun, Wenting - Combustion And Flame, 2019, (204), 304-319
DOI: 10.6084/m9.figshare.21583722
title: Supplementary Text and Figures from Inferring kinetic parameters of oscillatory gene regulation from single cell time-series data

description: A pdf file containing all supplementary methods and seven supplementary Figures.
DOI: 10.6084/m9.figshare.21583722.v1
title: Supplementary Text and Figures from Inferring kinetic parameters of oscillatory gene regulation from single cell time-series data

description: A pdf file containing all supplementary methods and seven supplementary Figures.
DOI: 10.5281/zenodo.7335200
title: SciExpeM - 10.5281/zenodo.7335200

description: Karimi, Miad; Ochs, Bradley, 0000-0003-1759-5701; Liu, Zefang; Ranjan, Devesh; Sun, Wenting - Combustion And Flame, 2019, (204), 304-319
DOI: 10.5281/zenodo.7335199
title: SciExpeM - 10.5281/zenodo.7335200

description: Karimi, Miad; Ochs, Bradley, 0000-0003-1759-5701; Liu, Zefang; Ranjan, Devesh; Sun, Wenting - Combustion And Flame, 2019, (204), 304-319
DOI: 10.5281/zenodo.7335173
title: Tetrahymena thermophila genome (.fa file)

description: This is the Tetrahymena thermophila genome file (FASTA) obtained from a previous version of the TGD (Tetrahymena genome database) database. This is the 2020 version of the genome (following the publication of Sheng et al. 2020 Sci China Life Sci.).
DOI: 10.5281/zenodo.7335172
title: Tetrahymena thermophila genome (.fa file)

description: This is the Tetrahymena thermophila genome file (FASTA) obtained from a previous version of the TGD (Tetrahymena genome database) database. This is the 2020 version of the genome (following the publication of Sheng et al. 2020 Sci China Life Sci.).
DOI: 10.5281/zenodo.7335188
title: Grupos de Investigación de la Corporación Colombiana de Investigación Agropecuaria AGROSAVIA

description: El dataset elegido para la práctica de Web Scraping corresponde a la campos generales de un grupo de investigación de la Corporación Colombiana de Investigación Agropecuaria AGROSAVIA. Cada una de las filas obtenidas traen los datos básicos propios del grupo y que también sirven de base para la categorización realizada por el Ministerio de Ciencia y Tecnología, entre ellos encontramos el nombre del grupo, líder, categoría, correo de contacto, áreas de conocimiento, año de creación y líneas de especialización
DOI: 10.5281/zenodo.7335187
title: Grupos de Investigación de la Corporación Colombiana de Investigación Agropecuaria AGROSAVIA

description: El dataset elegido para la práctica de Web Scraping corresponde a la campos generales de un grupo de investigación de la Corporación Colombiana de Investigación Agropecuaria AGROSAVIA. Cada una de las filas obtenidas traen los datos básicos propios del grupo y que también sirven de base para la categorización realizada por el Ministerio de Ciencia y Tecnología, entre ellos encontramos el nombre del grupo, líder, categoría, correo de contacto, áreas de conocimiento, año de creación y líneas de especialización
DOI: 10.6084/m9.figshare.21583755
title: behaviorbydeer_2005.csv

description: This table lists the number of times each behavior was performed by each deer during the 2005 year of camera trapping.
DOI: 10.6084/m9.figshare.21583755.v1
title: behaviorbydeer_2005.csv

description: This table lists the number of times each behavior was performed by each deer during the 2005 year of camera trapping.
DOI: 10.5281/zenodo.7335209
title: SciExpeM - 10.5281/zenodo.7335209

description: Karimi, Miad; Ochs, Bradley, 0000-0003-1759-5701; Liu, Zefang; Ranjan, Devesh; Sun, Wenting - Combustion And Flame, 2019, (204), 304-319
DOI: 10.5281/zenodo.7335208
title: SciExpeM - 10.5281/zenodo.7335209

description: Karimi, Miad; Ochs, Bradley, 0000-0003-1759-5701; Liu, Zefang; Ranjan, Devesh; Sun, Wenting - Combustion And Flame, 2019, (204), 304-319
DOI: 10.6084/m9.figshare.11477949
title: MPI ocean pCO2 testbed

description: This dataset contains select variables from 25 randomly selected members from the MPI grand ensemble (MPI-GE). Each variable is interpolated from the native grid to a 1x1 degree lat/lon grid. The variables are monthly over the 1982-2017 time frame. Each variable has been sampled as the SOCATv5 data product. RCP8.5 is used after 2005. <br> The intent of this testbed is to evaluate ocean pCO2 gap-filling methods. <br> <strong>Extracting variables</strong> <em>&gt;&gt; unzip file.zip</em>
DOI: 10.6084/m9.figshare.11477949.v1
title: MPI ocean pCO2 testbed

description: This dataset contains select variables from 25 randomly selected members from the MPI grand ensemble (MPI-GE). Each variable is interpolated from the native grid to a 1x1 degree lat/lon grid. The variables are monthly over the 1982-2017 time frame. Each variable has been sampled as the SOCATv5 data product. RCP8.5 is used after 2005.<br>The intent of this testbed is to evaluate ocean pCO2 gap-filling methods.<br><b>Extracting variables</b><i>&gt;&gt; tar xvzf file.tar.gz</i>
DOI: 10.6084/m9.figshare.21583764
title: behaviorbydeer_2006.csv

description: This table lists the number of times each behavior was performed by each deer during the 2006 year of camera trapping.
DOI: 10.6084/m9.figshare.21583764.v1
title: behaviorbydeer_2006.csv

description: This table lists the number of times each behavior was performed by each deer during the 2006 year of camera trapping.
DOI: 10.6084/m9.figshare.21583581
title: Data for "Elementary Decomposition Mechanisms of Lithium Hexafluorophosphate in Battery Electrolytes and Interphases"

description: Contained here is a JavaScript Object Notation (JSON)-formatted file called pfx_named_data.json. This file contains the structures (as serialized Pymatgen Molecule objects) and thermochemical properties of the reaction endpoints and TS reported in the article "Elementary Decomposition Mechanisms of Lithium Hexafluorophosphate in Battery Electrolytes and Interphases" (see DOI:10.26434/chemrxiv-2022-4bd1p-v2). <br> The key for each key-value pair in pfx_named_data.json is the name of the species as reported in the main text or the Supporting Information. For instance, the data for TS11 would be found under the key "TS11". For reactions where species, namely LiF, HF, and CO2, are removed, two entries for the relevant endpoint are provided. The species with LiF, HF, and/or CO2 present are named "M<em>n"</em>, where <em>n</em> is the appropriate index; the species with the species removed are named "M<em>n</em>-<em>x"</em>, where <em>x</em> is the species that is removed. Where multiple species are removed, the name takes the form "M<em>n</em>-<em>x</em>-<em>y</em>", where <em>x</em> and <em>y</em> are the species removed. <br> All structures were optimized in Jaguar using the range-separated hybrid generalized gradient approximation (GGA) density functional ωB97X-D, def2-SVPD basis set, and Conductor-like Screening Model (COSMO) implementation of the polarizable continuum model (PCM) with water as the solvent. In Jaguar, all basis functions representing f and higher orbitals were removed to further reduce cost, making the basis more precisely def2-SVPD(-f). All TS were confirmed to have one imaginary frequency and to connect to the expected endpoints. The electronic energies of all TS and reaction endpoints (reactants and products) were corrected with single-point energy evaluations in Jaguar using range-separated hybrid meta-GGA functional ωB97M-V with the def2-TZVPD basis set in COSMO. <br> To load this data in Python, use monty (https://github.com/materialsvirtuallab/monty): <br> from monty.serialization import loadfn data = loadfn("pfx_named_data.json")
DOI: 10.6084/m9.figshare.21583779
title: behaviorbyscrape_2005.csv

description: This table lists the number of times each behavior was performed at each scrape during the 2005 year of camera trapping.
DOI: 10.6084/m9.figshare.21583779.v1
title: behaviorbyscrape_2005.csv

description: This table lists the number of times each behavior was performed at each scrape during the 2005 year of camera trapping.
DOI: 10.5281/zenodo.5910980
title: Dataset: A Study on the Mental Models of Users Concerning Existing Software

description: In 2022, we conducted a study on the mental models of users concerning existing software. Information on the execution of the study are presented in the paper linked below: https://doi.org/10.1007/978-3-030-98464-9_18
description: Regarding study paper: https://doi.org/10.1007/978-3-030-98464-9_18
DOI: 10.5281/zenodo.5910981
title: Dataset: A Study on the Mental Models of Users Concerning Existing Software

description: In 2022, we conducted a study on the mental models of users concerning existing software. Information on the execution of the study are presented in the paper linked below: https://doi.org/10.1007/978-3-030-98464-9_18
description: Regarding study paper: https://doi.org/10.1007/978-3-030-98464-9_18
DOI: 10.24339/5011a1d2-7adb-4584-9373-de911f4d91cb
title: An investigation into attitudes towards, and experiences of, sexual minorities in cycling

description: This dataset presents data collected via an online survey examining the attitudes toward, and experiences of, sexual minorities in cycling.
DOI: 10.5281/zenodo.7335225
title: Dataset: Users' Software Description vs. Feedback: What Users Write About Existing Software

description: In 2022, we conducted a study on the awareness of users concerning existing software, For this, we focused on the description and feedback given by the 100 participating users.<br> <br> This data set contain 100 participants' description and feedback about the Komoot hiking app. Both features and software aspects were manually coded in the data set.
DOI: 10.5281/zenodo.7335224
title: Dataset: Users' Software Description vs. Feedback: What Users Write About Existing Software

description: In 2022, we conducted a study on the awareness of users concerning existing software, For this, we focused on the description and feedback given by the 100 participating users.<br> <br> This data set contain 100 participants' description and feedback about the Komoot hiking app. Both features and software aspects were manually coded in the data set.
DOI: 10.6084/m9.figshare.21583785
title: behaviorbyscrape_2006.csv

description: This table lists the number of times each behavior was performed at each scrape during the 2006 year of camera trapping.
DOI: 10.6084/m9.figshare.21583785.v1
title: behaviorbyscrape_2006.csv

description: This table lists the number of times each behavior was performed at each scrape during the 2006 year of camera trapping.
DOI: 10.5281/zenodo.7335231
title: SciExpeM - 10.5281/zenodo.7335231

description: Osipova, Ksenia N.; Zhang, Xiaoyuan; Sarathy, S. Mani; Korobeinichev, Oleg P.; Shmakov, Andrey G. - Fuel, 2022, (310), 122202
DOI: 10.5281/zenodo.7335230
title: SciExpeM - 10.5281/zenodo.7335231

description: Osipova, Ksenia N.; Zhang, Xiaoyuan; Sarathy, S. Mani; Korobeinichev, Oleg P.; Shmakov, Andrey G. - Fuel, 2022, (310), 122202
DOI: 10.5281/zenodo.7335239
title: SciExpeM - 10.5281/zenodo.7335239

description: Osipova, Ksenia N.; Zhang, Xiaoyuan; Sarathy, S. Mani; Korobeinichev, Oleg P.; Shmakov, Andrey G. - Fuel, 2022, (310), 122202
DOI: 10.5281/zenodo.7335238
title: SciExpeM - 10.5281/zenodo.7335239

description: Osipova, Ksenia N.; Zhang, Xiaoyuan; Sarathy, S. Mani; Korobeinichev, Oleg P.; Shmakov, Andrey G. - Fuel, 2022, (310), 122202
DOI: 10.25810/6qjv-1296.55
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - October 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7335250
title: SciExpeM - 10.5281/zenodo.7335250

description: Osipova, Ksenia N.; Zhang, Xiaoyuan; Sarathy, S. Mani; Korobeinichev, Oleg P.; Shmakov, Andrey G. - Fuel, 2022, (310), 122202
DOI: 10.5281/zenodo.7335249
title: SciExpeM - 10.5281/zenodo.7335250

description: Osipova, Ksenia N.; Zhang, Xiaoyuan; Sarathy, S. Mani; Korobeinichev, Oleg P.; Shmakov, Andrey G. - Fuel, 2022, (310), 122202
DOI: 10.21954/ou.rd.13219097
title: Covid Chronicles: Motto of the Day, by Dino

description: A short poem by Dino, an undocumented man from Algeria who has been in The Netherlands for most of 25 years. <br> Translations by Helen Hintjens. <br> ----- This material is part of the Covid Chronicles from the Margins project, funded by The Open University and The Hague. The project aims to highlight the impact of the pandemic on refugees, asylum seekers & undocumented migrants. <br> This item can also be found on our website.<br>
DOI: 10.21954/ou.rd.13219097.v2
title: Covid Chronicles: Motto of the Day, by Dino

description: A short poem by Dino, an undocumented man from Algeria who has been in The Netherlands for most of 25 years. <br> Translations by Helen Hintjens. <br> ----- This material is part of the Covid Chronicles from the Margins project, funded by The Open University and The Hague. The project aims to highlight the impact of the pandemic on refugees, asylum seekers & undocumented migrants. <br> This item can also be found on our website.<br>
DOI: 10.21954/ou.rd.13219097.v1
title: Motto of the Day, by Dino

description: A short poem by Dino, an undocumented man from Algeria who has been in The Netherlands for most of 25 years. <br> Translations by Helen Hintjens. <br> ----- This material is part of the Covid Chronicles from the Margins project, funded by The Open University and The Hague. The project aims to highlight the impact of the pandemic on refugees, asylum seekers & undocumented migrants. <br> This item can also be found on our website.<br>
DOI: 10.25810/fj1y-8c74.46
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2022 - October 2022

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.7335270
title: SciExpeM - 10.5281/zenodo.7335270

description: Osipova, Ksenia N.; Zhang, Xiaoyuan; Sarathy, S. Mani; Korobeinichev, Oleg P.; Shmakov, Andrey G. - Fuel, 2022, (310), 122202