cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nwmyvyyy2v.9
title: Data for: Predicting the Impacts of Mutations on Protein-Ligand Affinity Based on Molecular Dynamics Simulations and Machine Learning Methods

description: Statistics of the original data set, including the mutation type, the ID of the corresponding mutant in the protein data bank (PDB), the PDB ID of the wild type protein, the ID of the ligand, the type of ligand-binding sites (multiple or single), the impact of mutation on the protein-ligand affinity (decreased or increased) and the affinity fold change. For mutation types, XIY means a substitution from residue X to residue Y at position I, and XIY/AIIB indicates a dual mutation at positions I and II.
DOI: 10.17632/6c56r7ngyb.4
title: Data for: Selection or drift: the population biology underlying transposon insertion sequencing experiments

description: Code to create the figures in article "Selection or drift: the population biology underlying transposon insertion sequencing experiments".
DOI: 10.5281/zenodo.4261333
title: Talento en la NBA: Jugadores más notables a lo largo de la historia del baloncesto americano.

description: Este dataset contiene información, por temporada y liga, de los jugadores (y sus equipos) que destacaron más en distintos aspectos del juego (puntos, rebotes, asistencias, contribución, etc.), así como los premiados en las categorías MVP (<em>Most Valuable Player</em>) y ROTY (<em>Rookie of the Year</em>).
DOI: 10.5281/zenodo.4261332
title: Talento en la NBA: Jugadores más notables a lo largo de la historia del baloncesto americano.

description: Este dataset contiene información, por temporada y liga, de los jugadores (y sus equipos) que destacaron más en distintos aspectos del juego (puntos, rebotes, asistencias, contribución, etc.), así como los premiados en las categorías MVP (<em>Most Valuable Player</em>) y ROTY (<em>Rookie of the Year</em>).
DOI: 10.5281/zenodo.4261263
title: WebScrapping Cocktail HTML

description: WebScrapping Cocktail HTML
DOI: 10.5281/zenodo.4036020
title: A Single-Cell Tumor Immune Atlas for Precision Oncology

description: Preliminary version of the Tumor Immune Cell Atlas
DOI: 10.6084/m9.figshare.13204862
title: Examples_of_COVID-19_cases_in_Wuhan.zip

description: Examples of COVID-19 cases in Wuhan at community level.
DOI: 10.6084/m9.figshare.13204862.v1
title: Examples_of_COVID-19_cases_in_Wuhan.zip

description: Examples of COVID-19 cases in Wuhan at community level.
DOI: 10.5281/zenodo.4261622
title: Pretrained models for multiobject tracker for mice

description: Noninvasive tracking of all individuals in unmarked mouse group using multicamera fusion and deep learning
DOI: 10.5281/zenodo.4261621
title: Pretrained models for multiobject tracker for mice

description: Noninvasive tracking of all individuals in unmarked mouse group using multicamera fusion and deep learning
DOI: 10.17632/jggn27n6rg.1
title: Data for: Development of a deep learning-based model for the entire production process of steam-assisted gravity drainage (SAGD)

description: Relative permeability curves
DOI: 10.6084/m9.figshare.13204037
title: R0191-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0191."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.6084/m9.figshare.13204037.v1
title: R0191-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0191."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.6084/m9.figshare.13204886
title: Solar related parameters from GOES 15

description: Solar related parametersElectron FluxX-ray FluxSolar flares
DOI: 10.5281/zenodo.4261664
title: Dataset about user privacy treatment by mobile applications

description: <pre>With academical purposes for the Master in Data Science at UOC, this data extraction project is carried out using Web Scraping techniques on the Exodus-Privacy website, which is dedicated to analyze security and privacy aspects in Android applications. The dataset about user privacy treatment by mobile applications, provides information on trackers that have been included in the application and the device permissions that the user must accept at the time of installation. In addition, it provides more interesting application features for analytical processing of mobile applications. Dataframe files: · <strong>exodus.zip</strong>: Contains de icon attribute within the dataset file <em>exodus.json</em> (3G) in a [RGBA] 32x32 list format. · <strong>exodusNoIcon.zip</strong>: Contains de dataset file exodusNoIcon.json (100M) with 153.373 png files. Each file is named with the Id attribute within the dataset file. Dataframe attributes:</pre> <pre><code class="language-json">{ "id": { "Id": id, "Name": "name", "Tracker_count": trackersCount, "Permissions_count": permissionsCount, "Version": "version", "Downloads": "downloads", "Analysis_date": "analysisDate", "Trackers": [ { "Tracker Name": [ "trackerPurpose" ] } ], "Permissions": [ "permission", ], "Permissions_warning_count": permissionWarningCount, "Developer": "developer", "Country": "country", "Icon": [ [ R, G, B, A ] ] } }</code></pre>
description: More details and information about this dataset available at https://github.com/luimoco-uoc/exodusWebScraping
DOI: 10.5281/zenodo.4261663
title: Dataset about user privacy treatment by mobile applications

description: <pre>With academical purposes for the Master in Data Science at UOC, this data extraction project is carried out using Web Scraping techniques on the Exodus-Privacy website, which is dedicated to analyze security and privacy aspects in Android applications. The dataset about user privacy treatment by mobile applications, provides information on trackers that have been included in the application and the device permissions that the user must accept at the time of installation. In addition, it provides more interesting application features for analytical processing of mobile applications. Dataframe files: · <strong>exodus.zip</strong>: Contains de icon attribute within the dataset file <em>exodus.json</em> (3G) in a [RGBA] 32x32 list format. · <strong>exodusNoIcon.zip</strong>: Contains de dataset file exodusNoIcon.json (100M) with 153.373 png files. Each file is named with the Id attribute within the dataset file. Dataframe attributes:</pre> <pre><code class="language-json">{ "id": { "Id": id, "Name": "name", "Tracker_count": trackersCount, "Permissions_count": permissionsCount, "Version": "version", "Downloads": "downloads", "Analysis_date": "analysisDate", "Trackers": [ { "Tracker Name": [ "trackerPurpose" ] } ], "Permissions": [ "permission", ], "Permissions_warning_count": permissionWarningCount, "Developer": "developer", "Country": "country", "Icon": [ [ R, G, B, A ] ] } }</code></pre>
description: More details and information about this dataset available at https://github.com/luimoco-uoc/exodusWebScraping
DOI: 10.21227/g9aa-ng89
title: AURORA, A multi sensor dataset for robotic ocean exploration

description: The current maturity of autonomous underwater vehicles (AUVs) has made their deployment practical and cost-effective, such that many scientific, industrial and military applications now include AUV operations. However, the logistical difficulties and high costs of operating at-sea are still critical limiting factors in further technology development, the benchmarking of new techniques and the reproducibility of research results. To overcome this problem, we present a freely available dataset suitable to test control, navigation, sensor processing algorithms and others tasks. This dataset combines AUV navigation data, side-scan sonar, multibeam echosounder data and seafloor camera image data, and associated sensor acquisition meta-data to provide a detailed characterisation of surveys carried out by the National Oceanography Centre (NOC) in the Greater Haig Fras Marine Conservazion Zone (MCZ) of the U.K in 2015.
DOI: 10.5281/zenodo.4261722
title: Dataset of multiobject tracker for mice

description: Noninvasive tracking of all individuals in unmarked mouse group using multicamera fusion and deep learning
DOI: 10.5281/zenodo.4261721
title: Dataset of multiobject tracker for mice

description: Noninvasive tracking of all individuals in unmarked mouse group using multicamera fusion and deep learning
DOI: 10.6084/m9.figshare.13204979
title: DucayetalData

description: These are Icelandic common murre eggshell data used for the ms by Ducal et al on: Multicomponent Recognition Cues Support an Individual Recognition Function of the Appearance of Common Murre (Uria aalge) Eggs: A Biological Replication Study
DOI: 10.6084/m9.figshare.13204979.v1
title: DucayetalData

description: These are Icelandic common murre eggshell data used for the ms by Ducal et al on: Multicomponent Recognition Cues Support an Individual Recognition Function of the Appearance of Common Murre (Uria aalge) Eggs: A Biological Replication Study
DOI: 10.6084/m9.figshare.13204133
title: R0192-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0192."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.6084/m9.figshare.13204133.v1
title: R0192-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0192."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.5281/zenodo.4262196
title: Report of demographic and employment description of each of the interviewees. Covidless Approach & Trust Project

description: Report of demographic and employment description of each of the interviewees. Covidless Approach & Trust Project
DOI: 10.5281/zenodo.4262195
title: Report of demographic and employment description of each of the interviewees. Covidless Approach & Trust Project

description: Report of demographic and employment description of each of the interviewees. Covidless Approach & Trust Project
DOI: 10.5281/zenodo.4262216
title: Recopilacion de datos estadisticos de la Region de Murcia

description: Recopilacion de los datos disponibles en el CREM (Centro de Estadistica de la Region de Murcia) accesible desde: https://econet.carm.es/web/crem/informacion-de-la-a-z
DOI: 10.5519/qd.wlnssycu
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4262237
title: Raw NMR FID data of cryptoporic acid derivatives isolated from Cryptoporus volvatus fruiting bodies

description: This is a NMR FID data of cryptoporic acid derivatives isolated from fruiting bodies of <em>Cryptoporus volvatus</em> (Polyporaceae). Isolation and structural elucidation of these compounds will be reported in the article titled "Species prioritization based on spectral dissimilarity: A case study of polyporoid fungi species", which is currently under revision.
DOI: 10.5281/zenodo.4117011
title: Raw NMR FID data of cryptoporic acid derivatives isolated from Cryptoporus volvatus fruiting bodies

description: This is a NMR FID data of cryptoporic acid derivatives isolated from fruiting bodies of <em>Cryptoporus volvatus</em> (Polyporaceae). Isolation and structural elucidation of these compounds will be reported in the article titled "Species prioritization based on spectral dissimilarity: A case study of polyporoid fungi species", which is currently under revision.
DOI: 10.5519/qd.v2qszeau
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.wt05i6rf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4262200
title: Listed values of Ibex 35 companies from January 2020 to November 2020

description: The data included in the dataset are the listed values of the Ibex 35 companies from January 2020 to November 2020. The dataset is a file for each Ibex 35 company.
description: {"references": ["http://www.bolsa.es/"]}
DOI: 10.5281/zenodo.4262199
title: Listed values of Ibex 35 companies from January 2020 to November 2020

description: The data included in the dataset are the listed values of the Ibex 35 companies from January 2020 to November 2020. The dataset is a file for each Ibex 35 company.
description: {"references": ["http://www.bolsa.es/"]}
DOI: 10.25345/c5mj44
title: MassIVE MSV000086427 - GNPS_sdiv_ecometabolomics_toydataset
title: A toy dataset used in the frame of the sDIV workshop for the project sMile: Synthesising plant Metabolomics into biodiversity, Life history & Ecology More details here https://www.idiv.de/en/smile.html
DOI: 10.5281/zenodo.4244546
title: A Hybrid Feature Location Technique for Re-engineering Single Systems into Software Product Lines

description: Dataset of the scenarios, variants and results for each subject system used for evaluating the hybrid feature location technique presented in the paper: A Hybrid Feature Location Technique for Re-engineering Single Systems into Software Product Lines.
DOI: 10.5281/zenodo.4262529
title: A Hybrid Feature Location Technique for Re-engineering Single Systems into Software Product Lines

description: The dataset used for evaluating the hybrid feature location technique presented in the paper: "A Hybrid Feature Location Technique for Re-engineering Single Systems into Software Product Lines". This enables reproducibility, evaluation, and comparison of our study. _________________________________________________________________________________________________________ Folder "Dataset" contains for each subject system used: (i) the artificial variants and their configurations; (ii) the ECCO repository containing the traces; (iii) the ground truth and composed variants; (iv) the metrics results. _________________________________________________________________________________________________________ Folder "Scenarios" contains for each subject system used: (i) the videos recorded from exercising features on GUI.
DOI: 10.5281/zenodo.4244545
title: A Hybrid Feature Location Technique for Re-engineering Single Systems into Software Product Lines

description: The dataset used for evaluating the hybrid feature location technique presented in the paper: "A Hybrid Feature Location Technique for Re-engineering Single Systems into Software Product Lines". This enables reproducibility, evaluation, and comparison of our study. _________________________________________________________________________________________________________ Folder "Dataset" contains for each subject system used: (i) the artificial variants and their configurations; (ii) the ECCO repository containing the traces; (iii) the ground truth and composed variants; (iv) the metrics results. _________________________________________________________________________________________________________ Folder "Scenarios" contains for each subject system used: (i) the videos recorded from exercising features on GUI.
DOI: 10.34740/kaggle/dsv/1628858
title: Drug Sales Dataset
DOI: 10.5281/zenodo.4262357
title: Contrasting aerosol effects on longwave cloud forcing in South East Asia and Amazon simulated with Community Atmosphere Model version 5.3

description: Aerosols modify cloud microphysical and radiative properties and thus impact the shortwave (SW) and longwave cloud forcing (LWCF). This study first reports the finding of contrasting aerosol effects on LWCF in South East Asia and Amazon in the Community Atmosphere Model version 5.3 (CAM5.3), which corresponds to the sum of LW indirect and semi-direct effects investigated in Ghan et al., (2012). A series of numerical experiments is conducted to decompose the complex aerosol effects on LWCF. Our analysis indicates that the cooling (negative aerosol effects on LWCF) in Amazon is due mainly to the aerosol effects on warm clouds and the inhibition of vertical motion by the aerosol-induced radiative cooling. In contrast, the warming (positive aerosol effects on LWCF) in South East Asia is due mainly to the aerosol effect on homogeneous freezing, thus reducing the ice particle size and prolonging the existence of ice cloud. Our results emphasize that a comprehensive analysis of integrated aerosol effects on both warm and ice clouds is necessary for better understanding the aerosol effects on LWCF.
description: M. Wang and Y. Peng are supported by National Important Project of the Ministry of Science and Technology in China (grant No. 2017YFC1501404) and National Natural Science Foundation of China (grant No. 41605106 and 41775137). Y. Liu is supported by the U.S. DOE Atmospheric System Research (ASR) program.
DOI: 10.5281/zenodo.4262356
title: Contrasting aerosol effects on longwave cloud forcing in South East Asia and Amazon simulated with Community Atmosphere Model version 5.3

description: Aerosols modify cloud microphysical and radiative properties and thus impact the shortwave (SW) and longwave cloud forcing (LWCF). This study first reports the finding of contrasting aerosol effects on LWCF in South East Asia and Amazon in the Community Atmosphere Model version 5.3 (CAM5.3), which corresponds to the sum of LW indirect and semi-direct effects investigated in Ghan et al., (2012). A series of numerical experiments is conducted to decompose the complex aerosol effects on LWCF. Our analysis indicates that the cooling (negative aerosol effects on LWCF) in Amazon is due mainly to the aerosol effects on warm clouds and the inhibition of vertical motion by the aerosol-induced radiative cooling. In contrast, the warming (positive aerosol effects on LWCF) in South East Asia is due mainly to the aerosol effect on homogeneous freezing, thus reducing the ice particle size and prolonging the existence of ice cloud. Our results emphasize that a comprehensive analysis of integrated aerosol effects on both warm and ice clouds is necessary for better understanding the aerosol effects on LWCF.
description: M. Wang and Y. Peng are supported by National Important Project of the Ministry of Science and Technology in China (grant No. 2017YFC1501404) and National Natural Science Foundation of China (grant No. 41605106 and 41775137). Y. Liu is supported by the U.S. DOE Atmospheric System Research (ASR) program.
DOI: 10.6084/m9.figshare.13198709
title: DNA Sequencing Data 2020 PLOS One 2

description: This data set is composed of sequencing data used in a PLOS One manuscript submitted in 2020
DOI: 10.25919/5fa80b936906e
title: Parkes observations for project P1068 semester 2020APRS_25

description: In the fast-moving world of Fast Radio Bursts (FRBs), the key question of what fraction (as high as 100%?) of FRBs emit repeat bursts remains unanswered. Of order 10 repeating FRBs are now known, and their spectro-temporal properties hint at differences with apparently non-repeating bursts - but poor statistics preclude a definitive diagnosis. FRB 180301 is a promising source for further study for multiple reasons: it is the first repeating FRB seen by the FAST telescope, and has the second-highest rotation measure ever seen for a FRB (after the original repeater, FRB121102). We request Parkes observations with the UWL to characterise the broadband emission properties of this FRB, with the following key goals: to constrain the repetition rate, identify any variation of pulse characteristics over time, and provide insight into the emission mechanisms. In its initial detection, FRB 180301 was poorly fit by regular Faraday rotation models, and showed significant circular polarization, which may indicate the progenitor is embedded in an extreme magneto-ionic environment with complex field structure that has not been seen before. These observations will generate a large data volume. We will use the Medusa backend in parallel with the Breakthrough Listen data recorder (BL), and will transfer data to BL immediately after observations.These data will be used by P. Kumar to prototype a FRB pipeline for the UWL, that will be made broadly available for similar studies.
DOI: 10.21227/wc4v-h274
title: Modeling of electromagnetic radiation

description: Особенный интеллектуализированная система (информационно-вычислительная система мониторинга с участием человека участие и интеллектуальная поддержка в решении определенных задач)
DOI: 10.21227/jvmb-tf66
title: Modeling of electromagnetic radiation

description: Особенный интеллектуализированная система (информационно-вычислительная система мониторинга с участием человека участие и интеллектуальная поддержка в решении определенных задач)
DOI: 10.6084/m9.figshare.13160078
title: CUMC-E interactome

description: A cell regulatory network for pancreatic carcinogenesis (CUMC-E interactome) was reverse-engineered by ARACNe-AP using 242 epithelial LCM-RNA-Seq gene expression profiles. Genes with detection rates at 0.1 TPM below 25% in all of the examined conditions (PanIN, IPMN, and PDA) were removed and the variance was stabilized by fitting the dispersion to a negative binomial distribution as implemented in the DESeq R package. ARACNe was run with standard settings (using data processing inequality (DPI), with 100 bootstrap iterations using human gene symbols mapping to a set of 1665 transcription factors and 1025 transcription cofactors as described from AnimalTFDB 3.0.
DOI: 10.6084/m9.figshare.13160078.v2
title: CUMC-E interactome

description: A cell regulatory network for pancreatic carcinogenesis (CUMC-E interactome) was reverse-engineered by ARACNe-AP using 242 epithelial LCM-RNA-Seq gene expression profiles. Genes with detection rates at 0.1 TPM below 25% in all of the examined conditions (PanIN, IPMN, and PDA) were removed and the variance was stabilized by fitting the dispersion to a negative binomial distribution as implemented in the DESeq R package. ARACNe was run with standard settings (using data processing inequality (DPI), with 100 bootstrap iterations using human gene symbols mapping to a set of 1665 transcription factors and 1025 transcription cofactors as described from AnimalTFDB 3.0.
DOI: 10.6084/m9.figshare.13160078.v1
title: CUMC-E interactome

description: A cell regulatory network for pancreatic carcinogenesis (CUMC-E interactome) was reverse-engineered by ARACNe-AP using 242 epithelial LCM-RNA-Seq gene expression profiles. Genes with detection rates at 10 counts below 25% in all of the examined conditions (PanIN, IPMN, and PDA) were removed and the variance was stabilized by fitting the dispersion to a negative binomial distribution as implemented in the DESeq R package. ARACNe was run with standard settings (using data processing inequality (DPI), with 100 bootstrap iterations using human gene symbols mapping to a set of 1665 transcription factors and 1025 transcription cofactors as described from AnimalTFDB 3.0.
DOI: 10.21227/jc1w-a174
title: smartpredication

description: We have used mean of the dataset.
DOI: 10.6084/m9.figshare.13204040
title: R0193-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0193."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.6084/m9.figshare.13204040.v1
title: R0193-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0193."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses