cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34810/data34
title: Triacylglycerol profiling data of olive oil samples obtained by Flow Injection Analysis-Heated Electrospray Ionisation-High Resolution Mass Spectrometry (FIA-HESI-HRMS)

description: Data base containing data on the triacylclgyerol profile of genuine and adulterated olive oils obtained by Flow Injection Analysis-Heated Electrospray Ionisation-High Resolution Mass Spectrometry (FIA-HESI-HRMS). Data (total ion chromatograms) were obtained and used by Quintanilla-Casas et al. (Food Control, 2021, 123: 107851). Data correspond to relative abundances obtained for each mass signal that agreed with single positive charged sodium molecular ions and that could match with a triacylglycerol elemental formula (mass tolerance error set at 5ppm; molecular formulae calculation performed with Xcalibur 4.1. (Thermo Fisher Scientific, Bremen, Germany). This data base includes samples used in the study that were obtained by the OLEUM consortium. Samples included genuine olive oils, as well as Taylor-made adulterations blending genuine olive oils with other vegetable oils as adulterants (sunflower oli; soy oil; high oleic sunflower oil; avocado oil (refined and virgin); hazelnut oil (refined and virgin)). Blind samples are also included in the data base. Partial Least Squares-Discriminant Analysis (PLS-DA) was applied to these data to develop two independent binary models that discriminated between (i) genuine oils and blends with ≥2% of HL adulterants, and (ii) genuine oils and blends with ≥5% of HO adulterants, as described in Quintanilla-Casas et al., 2021.
description: Data have been obtained at Universitat de Barcelona in the context of the project OLEUM “Advanced solutions for assuring authenticity and quality of olive oil at global scale”, funded by the European Commission within the Horizon 2020 Program (2014–2020, grant agreement no. 635690) and the project AUTENFOOD, funded by ACCIÓ-Generalitat de Catalunya (Spain) and the European Union through the Programa Operatiu FEDER Catalunya 2014–2020 (Ref COMRDI-15-1-0035). The study was also supported by the Ministerio de Ciencia, Innovación y Universidades (MICINN) from Spain through the Juan de la Cierva and Ramon y Cajal programs (JCI-2012_13412 and RYC-2017-23601), and by the Ministerio de Educación, Cultura y Deporte (MECD) from Spain through the FPU pre-doctoral program (FPU16/01744).
DOI: 10.34810/data407
title: IntOGen - Pipeline

description: Analyses somatic mutations in thousands of tumor genomes to identify cancer driver genes.
description: Requirements: IntOGen depends on **Python 3.4** or above and some python libraries. If you don't have Python 3.4 already installed, the easiest way to install all this software stack is using the well known [Anaconda Python distribution](http://continuum.io/downloads#34). /nAlso **Perl 5.10** (with DBI module installed) or above has to be available at PATH to be able to run VEP scripts./n By default MutsigCV is disabled. If you want to enable it you have to first download and install [Matlab Runtime](http://es.mathworks.com/products/compiler/mcr/) and MutsigCV](https://www.broadinstitute.org/cancer/cga/mutsig) and then edit the IntOGen configuration file that by default it's at /.intogen/system.conf (parameters: mutsig_enabled, mutsig_path and matlab_mcr) /nInstallation: To install or update to the last stable version of IntOGen you need to run: /n $ pip install intogen pandas=0.17/nAfter this you will have the `intogen` script available at your path and if this is the first time that you install IntOGen you need to run the setup to download all the data dependencies. This setup will download 3.6Gb of data that after uncompress it will need 9Gb of free space. /n $ intogen --setup/n**TIP**: By default the IntOGen configuration files are in `/.intogen` if you want to change this folder you need to define/nthe system environment variable **INTOGEN_HOME** using the `export` command. Also, all the datasets are downloaded by/ndefault at `/.bgdata` if you want to change this folder you need to define the system environment variable **BGDATA_LOCAL**./nRun an example:/nDownload and extract some samples VCF files:/n $ wget https://bitbucket.org/intogen/intogen-pipeline/downloads/intogen-samples.tar.gz/n $ tar xvzf intogen-samples.tar.gz /nRun IntOGen using the default tasks configuration./n $ intogen -i sample1.vcf -i sample2.vcf -i sample3.vcf -i sample4.vcf /nBrowse the results at the `output` folder./n /nCustom configuration:/nAt `/.intogen/task.conf` you can check the default task configuration values. If you want to run the pipeline /nusing different parameters you can change the default values or create a `.smconfig` file for each project. /nThe `.smconfig` files are a copy of `/.intogen/task.conf` but adding `id` and `files` parameters. The `id` is the name /nof the project and the `files` is a list separated by comma of all the files (MAF, VCF or tab format) that contain /nsamples for that project. /nYou can create a `.smconfig` file like this:/n $ echo -e "id = allsamples/nfiles = sample1.vcf,sample2.vcf,sample3.vcf,sample4.vcf/n" &gt; allsamples.smconfig/n $ cat /.intogen/task.conf &gt;&gt; allsamples.smconfig/nTo run it again, you need to delete or move the previous output and run using the `.smconfig` file as input./n $ rm -rf output/n $ intogen -i allsamples.smconfig /nIf you want to run multiple projects at once you can create multiple `.smconfig` files in one folder and then give that/nfolder as input.
DOI: 10.34810/data2340
title: Replication Data for: Integrating Complex Permittivity Measurements with Histological Analysis for Advanced Tissue Characterization

description: Real and imaginary paryt of complex permittivity of several types of human tissues, some of them affected by necrosis, fibrosis or fat content. Measurements are broadband, from 200 MHz to 20 GHz, and have been taken with an open-ended coaxial probe.
description: N1500A Keysight Materials Mesurements, coaxial Probe method 004, null
DOI: 10.34810/data239
title: Archaeological intervention in the Roman quarry of El Mèdol in 2013
title: Intervenció arqueològica a la Pedrera del Mèdol (Tarragona) l’any 2013

description: Data from the archaeological intervention as a result of the rehabilitation and adaptation works to the Roman quarry Medol (Tarragona) carried out from April and December 2013. The data are from Roman times (2nd century BC - 2nd century AD) and include archaeological inventory, photographs, plans and drawings.
description: &lt;br&gt;Dades de la intervenció arqueològica arran de les obres de rehabilitació i adequació a la Pedrera romana del Mèdol (Tarragona) duta a terme entre abril i desembre de 2013. Les dades són d’època romana (S. II aC-II dC) i inclouen l’inventari arqueològic, fotografies, planimetries i làmines. &lt;/br&gt;
DOI: 10.34810/data27
title: Bulwer's petrel Capture-Mark-Recapture data (reproduction)

description: Bulwer’s petrel captures from 2007 to 2018 specifying the reproductive performance/status of the individuals (1=unknown reproductive performance, 2=successful breeder, 3=failure at incubation, 4=failure at chick-rearing, 5=non-breeder and 6=breeder with unknown reproductive performance), their colony (Vila or Montaña Clara) and their sex (0=not sexed, 1=male and 2=female).
Data from Vila islet in Azores Islands were collected from 2007 to 2012 and in 2016; data from Montaña Clara islet in Canary Islands were collected from 2010 to 2018.
DOI: 10.34810/data314
title: Tibidabo Treebank and IULA Spanish LSP Treebank Train and Test Partitions

description: This package contains a partition of the Iula Spanish LSP Treebank into train and test sets to perform Machine Learning experiments. In that way the same partitions can be used by different researchers and their results can be directly compared. In this package we also deliver the Tibidabo Treebank (Marimon 2010) which contains a set of sentences extracted from Ancora corpus annotated in the same way than the Iula Treebank. Tibidabo Treebank is a very good test set for models trained with Iula Spanish LSP Treebank since the sentences that form it from a very different domain than those of the Iula Spanish LSP Treebank.
DOI: 10.34810/data235
title: Semi-synthetic dataset: motor vehicle crashes and temperature in Catalonia

description: Semi-synthetic dataset that was created to approximate the relationship between the daily number of motor vehicle crashes and ambient temperature in 14 climatic regions of Catalonia (warm seasons of years 2000-2011)
description: The aim of this project is to estimate the short-terms effects of temperature on different health outcomes in Catalonia (Spain). The health outcomes include cause-specific mortality, hospital admissions and motor vehicle crashes.
DOI: 10.34810/data2328
title: SOFTX_SOFTX-D-22-00152

description: AKFruitData. This repository contents source code of two applications presented in the article https://doi.org/10.1016/j.softx.2022.101231 at the time of its publication in SoftwareX Journal.
The emergence of low-cost 3D sensors, and particularly RGB-D cameras, together with recent advances in artificial intelligence, is currently driving the development of in-field methods for fruit detection, size measurement and yield estimation. However, as the performance of these methods depends on the availability of quality fruit datasets, the development of ad-hoc software to use RGB-D cameras in agricultural environments is essential. The AKFruitData software introduced in this work aims to facilitate use of the Azure Kinect RGB-D camera for testing in field trials. This software presents a dual structure that addresses both the data acquisition and the data creation stages. The acquisition software (AK_ACQS) allows different sensors to be activated simultaneously in addition to the Azure Kinect. Then, the extraction software (AK_FRAEX) allows videos generated with the Azure Kinect camera to be processed to create the datasets, making available colour, depth, IR and point cloud metadata. AKFruitData has been used by the authors to acquire and extract data from apple fruit trees for subsequent fruit yield estimation. Moreover, this software can also be applied to many other areas in the framework of precision agriculture, thus making it a very useful tool for all researchers working in fruit growing.
description: This software is stored and maintained in the following github repository: https://github.com/GRAP-UdL-AT/SOFTX_SOFTX-D-22-00152
DOI: 10.34810/data35
title: Total Ion Chromatograms obtained by SPME-GC-MS of volatile fingerprint of olive oil samples from various harvests (N=305)

description: Data base containing SPME-GC-MS raw analytical data (total ion chromatograms, not aligned) obtained and used by Quintanilla-Casas et al. (Foods, 9: 1509). Data correspond to the volatile fingerprint of 305 authentic and traceable virgin olive oil samples produced in several EU and non-EU countries during two consecutive crop years (2016–2017 and 2017–2018), and to the information on the sensory attributes, defects and the olive oil category assigned by six official sensory panels in the framework of OLEUM project (EC H2020 Programme 2014–2020). Briefly, data correspond to SPME-GC-MS scan intensities of the total ion chromatogram at each retention time from 5.5 to 61.96 min. These data were aligned and used to in-house validate the analytical fingerprint and to validate the screening tool to support virgin olive oil sensory panels. This screening tool was a PLS-DA classification apporach to discriminate the virgin olive oil categories (extra virgin, virgin and lampante olive oil).
description: Data have been obtained at Universitat de Barcelona in the context of the project OLEUM “Advanced solutions for assuring authenticity and quality of olive oil at global scale”, funded by the European Commission within the Horizon 2020 Program (2014–2020, grant agreement no. 635690). The study was also supported by the Ministerio de Ciencia, Innovación y Universidades (MICINN) from Spain through the Juan de la Cierva and Ramon y Cajal programs (JCI-2012_13412 and RYC-2017-23601), and by the Ministerio de Educación, Cultura y Deporte (MECD) from Spain through the FPU pre-doctoral program (FPU16/01744).
DOI: 10.34810/data31
title: Structure-Based Model (SBM) simulations for the folding process of the FoxP1 protein using the SBMOpenMM library

description: Structure-Based Model (SBM) simulations for the folding process of the FoxP1 protein using the SBMOpenMM library. Fifteen equilibrium replicas of 10 μs each were carried out at the folding temperature of the system. Each folder contains the trajectory, forcefield parameters, and energy file for each simulated replica.
DOI: 10.34810/data389
title: Party mobilization and electoral systems

description: Data in Stata format (.dta) and CSV. Replication data for Stata (.do)/nContains data on the number of visits of the candidates of the Spanish parties PP and PSOE for the 2009 european elections and the 2011 Spanish legislative elections and the factors that explain the distribution of resources during electoral campaigns. Own database created from the electoral results of the two elections taken into account.
DOI: 10.34810/data432
title: OncodriveMUT

description: Bioinformatics method to identify individual driver mutations.
DOI: 10.34810/data518
title: Authorship according to sex/gender in contributions to Spanish scientific journals of Ancient History (1970-2020)

description: This database corresponds to the study of the authorship of women and men in 3913 contributions published in 7 Spanish journals of Ancient History between 1970 and 2020. It analyses the sex/gender of authorship, its proportion and its development over time. In addition, the possible existence of differences depending on whether the contributions are single-authored or co-authored, as well as on the position of signature in the works of more than one person, is addressed. Likewise, the topic of these investigations is taken into account. This study shows that the proportion of female authors is low and, furthermore, that a progressive increase in female authorship cannot be observed in the last decades.
DOI: 10.34810/data255
title: Ctxverbals

description: Base de dades de marcadors de relacions conceptuals feta amb Access 2000. Inclou 3.114 contextos verbals amb informacions básiques per a la detecció de les relacions conceptuals de manera assistida. A més compte amb interfície en html a les dades que conformen la base de dades.
description: Microsoft Access, 2000
DOI: 10.34810/data320
title: Spanish-Aragonese LMF Apertium Bilingual dictionary

description: This is the LMF version of the Apertium bilingual dictionary for Spanish and Aragonese languages. Bilingual LMF dictionaries were generated from Apertium bilingual dix files. For each Apertium bilingual correspondence, the corresponding source and target monolingual entries (LexicalEntry) were generated in addition to the bilingual correspondence (SenseAxis) element. Apertium is a free/open-source machine translation platform, initially aimed at related-language pairs but recently expanded to deal with more divergent language pairs (such as Spanish-Aragonese). The platform provides: a language-independent machine translation engine; tools to manage the linguistic data necessary to build a machine translation system for a given language pair and linguistic data for a growing number of language pairs.
DOI: 10.34810/data39
title: Data for analysis of past, present and future geographic range of the relict Mediterranean and Macaronesian Juniperus phoenicea complex

description: We examined the realized, retrospective and predicted niches separately for J. phoenicea s.s., J. turbinata and J. canariensis and for the entire J. phoenicea complex. 
Additionally, we analysed separately the data from the groups of localities of J. turbinata detected in the genetic study. 
Juniperus phoenicea complex (ENT), J. phoenicea s.s. (PHO), J. canariensis (CAN) and J. turbinata (TUR); four different parts of J. turbinata’s geographic range: Atlantic (TURAT), central and west Mediterranean (TURCM), east Mediterranean (TUREM) and the Arabian Peninsula (TURAR).

The model was evaluated with ENMeval R software. We used 10 k-fold spatial partitions for each species presence record and evaluated models with the following feature classes: linear, quadratic, hinge, product and threshold, and the following values of regularization multipliers: 0.5, 1, 1.5, 2, 2.5, 3, 3.5, and 4.

Bioclimatic variables were obtained from the WorldClim 2.1 database (http://worldclim.org/) and Paleoclim (http://www.paleoclim.org/). We used: Last Interglacial period (LIG), Last Glacial Maximum climate (LGM) and Mid-Holocene (MH), present and the predicted warming in scenarios RCP2.6 and RCP8.5. 

Data on the occurrence of the J. phoenicea complex was obtained from the Global Biodiversity Information Facility (GBIF.org), the literature, herbaria and the authors’ field notes.
DOI: 10.34810/data444
title: Sound and music recommendation with knowledge graphs [dataset]

description: Music Recommendation Dataset (KGRec-music). Number of items: 8,640. Number of users: 5,199. Number of items-users interactions: 751,531. All the data comes from songfacts.com and last.fm websites. Items are songs, which are described in terms of textual description extracted from songfacts.com, and tags from last.fm. Files and folders in the dataset: /descriptions: In this folder there is one file per item with the textual description of the item. The name of the file is the id of the item plus the ".txt" extension. /tags: In this folder there is one file per item with the tags of the item separated by spaces. Multiword tags are separated by -. The name of the file is the id of the item plus the ".txt" extension. Not all items have tags, there are 401 items without tags. implicit_lf_dataset.txt: This file contains the interactions between users and items. There is one line per interaction (a user that downloaded a sound in this case) with the following format, fields in one line are separated by tabs: user_id /t sound_id /t 1 /n. Sound Recommendation Dataset (KGRec-sound). Number of items: 21,552. Number of users: 20,000. Number of items-users interactions: 2,117,698. All the data comes from Freesound.org. Items are sounds, which are described in terms of textual description and tags created by the sound creator at uploading time. Files and folders in the dataset: /descriptions: In this folder there is one file per item with the textual description of the item. The name of the file is the id of the item plus the ".txt" extension. /tags: In this folder there is one file per item with the tags of the item separated by spaces. The name of the file is the id of the item plus the ".txt" extension. downloads_fs_dataset.txt: This file contains the interactions between users and items. There is one line per interaction (a user that downloaded a sound in this case) with the following format, fields in one line are separated by tabs: /nuser_id /t sound_id /t 1 /n.

Two different datasets with users, items, implicit feedback interactions between users and items, item tags, and item text descriptions are provided, one for Music Recommendation (KGRec-music), and other for Sound Recommendation (KGRec-sound).
DOI: 10.34810/data597
title: Replication Data for: Cognitive enhancement via neuromodulation and video games: synergistic effects?

description: This dataset corresponds to the results explained in the paper: "Palaus M, Viejo-Sobera R, Redolar-Ripoll D and Marrón EM (2020) Cognitive Enhancement via Neuromodulation and Video Games: Synergistic Effects? Front. Hum. Neurosci. 14:235. doi: 10.3389/fnhum.2020.00235".
The data were collected during the 2014-2017 period at the Cognitive NeuroLab (cognitiveneurolab.org, Universitat Oberta de Catalunya, UOC) as part of the "Cognitive enhancement by means of TMS and video game training: synergistic effects" doctoral project founded by the Universitat Oberta de Catalunya.
DOI: 10.34810/data523
title: Home-to-school pedestrian mobility GPS data from a citizen science experiment in the Barcelona area

description: This data-set contains high resolution GPS records from a single day home-to-school pedestrian mobility of 10 schools in the Barcelona Metropolitan Area (Spain). The experiment for data acquisition took place in November 2018. The data-set provides pedestrian mobility from an age-homogeneous group of people and is particularly valuable to bring insights in an urban microscopic level and can characterize micro-mobility patterns and pedestrians’ micro-motives. The study shares processed records with specific filtering, cleaning, and interpolation procedures (83 individual journeys and 41,053 GPS records) that can facilitate and accelerate data usage. Citizen science practices were employed during the whole research process (co-design, crowd-sourced protocols for the experiment, collective data interpretation and policy recommendations).
DOI: 10.34810/data526
title: Replication Data for: ADMET free online prediction tools for academic or small biotech environments

description: This data set includes all the Supplementary information corresponding to the paper entitled “ADMET free online prediction tools for academic or small biotech environments”. More particularly the characteristics of the free software and web servers for the prediction of physicochemical and pharmacokinetic properties of drug candidates, the properties that are predicted, the experimental data for a set of 24 FDA-approved tyrosine kinase inhibitors (TKIs), the properties predicted for such TKIs using the free web servers, and the comparison of the predicted and experimental data together with the statistical analysis of such comparisons.
DOI: 10.34810/data562
title: Replication Data for "Gestures During Knapping: A Two-perspective Approach to Pleistocene Technologies"

description: Data collection (.csv) of the technical gestures of 15 lithic knapping experiments. This database is the raw data associated to the paper: Arturo Cueva-Temprana, Diego Lombao, Juan Ignacio Morales, Nuria Geribàs & Marina Mosquera (2019) Gestures During Knapping: A Two-perspective Approach to Pleistocene Technologies, Lithic Technology, 44:2, 74-89.

 These 15 experiments consisted of 5 expert knappers (EK1-EK5) whose objective was to obtain 3 different types of final products: choppers, chopping tools and handaxes.
DOI: 10.34810/data612
title: Replication data for Perceived HRM (Human Resource Management) - Health centers

description: Data for analyzing the mediating role of organizational trust and work satisfaction in the relationship between HRM organizational practices and employees’ organizational citizenship behavior, as well as the moderating role of organizational justice. The study includes 339 employees working in healthcare centers in the Metropolitan Region of Chile (sample average age is 40 years; 64.6% are women; 56.2% of the employees had 6 or more years of professional experience). This study provides data from the Perceived HRM practices scale (Den Hartog et al., 2013), Organizational justice (Niehoff & Moorman, 1993), Organizational trust (Cook & Wall, 1980), Job satisfaction (Hackman & Oldham, 1975), and OCB (Kehoe & Wright, 2013) scales.
description: Field work performed by Juan Rodrigo Alvarado