cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/thkcz3h6n6.3
title: Olive Oil Fluorescence Spectra Dataset with chemical parameter values

description: This dataset encompasses fluorescence spectra of 24 olive oil samples from the 2019–2020 harvest provided by the producer Conde de Benalúa, Granada, Spain. The dataset consists in 10 Extra Virgin Olive Oil (EVOO), 8 Virgin Olive Oil (VOO) and 6 Lampante Olive Oil (LOO) samples. Fluorescence spectra were obtained with two excitation leds at 395 nm and 365 nm and the fluorescence signal was collected with a miniature spectrometer with 1024-element CCD with a resolution of 16 nm. For each olive oil sample and each led, 20 measurements were performed. A total of 24 samples × 40 measurements produced 960 spectra. The dataset, therefore, consists of 960 arrays, each having 1024 values whose elements are the intensity at the different pixel positions. For each spectra values for Acidity, Peroxide value, K_270, K_232, Ethyl Esters and the samples quality (EVOO, VOO or LOO). All the samples were analyzed by accredited laboratories for the chemical and organoleptic properties according to the current European regulation. The dataset can be used to train machine learning models to predict one or multiple chemical parameters or to classify samples based on their quality. There is no available datasets on fluorescence data on olive oil with the chemical parameters as described in this paper, thus making this dataset a very useful one for researchers in food technology.

A background file (Fluorescence_olive_oil_dataset_background.pkl) is also provided. This corresponds to the intensity (dark counts) measured by the spectrometer without any light and must be subtracted from the raw fluorescence data.
DOI: 10.17632/thkcz3h6n6.4
title: Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils

description: This dataset encompasses fluorescence spectra and chemical parameters of 24 olive oil samples from the 2019–2020 harvest provided by the producer Conde de Benalúa, Granada, Spain. The oils are characterized by different qualities: 10 extra virgin olive oil (EVOO), 8 virgin olive oil (VOO), and 6 lampante olive oil (LOO) samples. For each sample, the dataset includes fluorescence spectra obtained with two excitation wavelengths and five chemical parameters necessary for the quality assessment of olive oil. The fluorescence spectra were obtained by exciting the samples at 395 nm and 365 nm and collecting the signal with a miniature spectrometer with a 1024-element CCD array with a resolution of 16 nm. Each olive oil sample was measured 20 times under identical conditions for excitation at 365 nm and 395 nm. Therefore, the dataset includes a total of 960 spectra (24 oil samples × 2 excitation wavelengths x 20 measurements). Each of the 960 spectra is an array of 1024 values whose elements are the intensity at the different pixel positions. For each olive oil sample, the dataset includes the values of the following chemical parameters: acidity, peroxide value, K_270, K_232, ethyl esters, and the quality of the samples (EVOO, VOO, or LOO). The chemical analysis of all the samples was performed by accredited laboratories according to the current European regulation. The dataset offers a unique possibility for researchers in food technology to develop machine learning models due to the availability of both spectroscopical and chemical data. The dataset can be used, for example, to predict one or multiple chemical parameters or to classify samples based on their quality from fluorescence spectra.
DOI: 10.17632/thkcz3h6n6.5
title: Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils

description: This dataset encompasses fluorescence spectra and chemical parameters of 24 olive oil samples from the 2019–2020 harvest provided by the producer Conde de Benalúa, Granada, Spain. The oils are characterized by different qualities: 10 extra virgin olive oil (EVOO), 8 virgin olive oil (VOO), and 6 lampante olive oil (LOO) samples. For each sample, the dataset includes fluorescence spectra obtained with two excitation wavelengths and five chemical parameters necessary for the quality assessment of olive oil. The fluorescence spectra were obtained by exciting the samples at 395 nm and 365 nm and collecting the signal with a miniature spectrometer with a 1024-element CCD array with a resolution of 16 nm. Each olive oil sample was measured 20 times under identical conditions for excitation at 365 nm and 395 nm. Therefore, the dataset includes a total of 960 spectra (24 oil samples × 2 excitation wavelengths x 20 measurements). Each of the 960 spectra is an array of 1024 values whose elements are the intensity at the different pixel positions. For each olive oil sample, the dataset includes the values of the following chemical parameters: acidity, peroxide value, K_270, K_232, ethyl esters, and the quality of the samples (EVOO, VOO, or LOO). The chemical analysis of all the samples was performed by accredited laboratories according to the current European regulation. The dataset offers a unique possibility for researchers in food technology to develop machine learning models due to the availability of both spectroscopical and chemical data. The dataset can be used, for example, to predict one or multiple chemical parameters or to classify samples based on their quality from fluorescence spectra.
DOI: 10.17632/thkcz3h6n6.6
title: Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils

description: This dataset encompasses fluorescence spectra and chemical parameters of 24 olive oil samples from the 2019–2020 harvest provided by the producer Conde de Benalúa, Granada, Spain. The oils are characterized by different qualities: 10 extra virgin olive oil (EVOO), 8 virgin olive oil (VOO), and 6 lampante olive oil (LOO) samples. For each sample, the dataset includes fluorescence spectra obtained with two excitation wavelengths and five chemical parameters necessary for the quality assessment of olive oil. The fluorescence spectra were obtained by exciting the samples at 395 nm and 365 nm and collecting the signal with a miniature spectrometer with a 1024-element CCD array with a resolution of 16 nm. Each olive oil sample was measured 20 times under identical conditions for excitation at 365 nm and 395 nm. Therefore, the dataset includes a total of 960 spectra (24 oil samples × 2 excitation wavelengths x 20 measurements). Each of the 960 spectra is an array of 1024 values whose elements are the intensity at the different pixel positions. For each olive oil sample, the dataset includes the values of the following chemical parameters: acidity, peroxide value, K_270, K_232, ethyl esters, and the quality of the samples (EVOO, VOO, or LOO). The chemical analysis of all the samples was performed by accredited laboratories according to the current European regulation. The dataset offers a unique possibility for researchers in food technology to develop machine learning models due to the availability of both spectroscopical and chemical data. The dataset can be used, for example, to predict one or multiple chemical parameters or to classify samples based on their quality from fluorescence spectra.
DOI: 10.17632/xydxhyz3b8.1
title: LINF_340015100

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/gxpbpgb3pd.1
title: LINF_340016200

description: ATP-binding cassette protein subfamily B - member 4 | MDR1 | ABCB4
Leishmania infantum (strain JPCM5)
DOI: 10.17632/6xbrt3n75v.1
title: Endoplasmic reticulum-associated protein degradation contributes to Toll innate immune defense in Drosophila melanogaster

description: LC-MS/MS
DOI: 10.17632/srrbkd8ntx.1
title: LINF_340017700

description: hypothetical protein - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/s765zgg6zk.1
title: LINF_340017600

description: dihydroxyacetonephosphate acyltransferase | DAT
Leishmania infantum (strain JPCM5)
DOI: 10.17632/tmfmvnwgfy.1
title: Replication package for “Robust optimal macroprudential policy”

description: This repository contains the files to replicate all results in “Robust optimal macroprudential policy”.
DOI: 10.5281/zenodo.7458938
title: Anexo 12. Material de traballo e base de datos

description: Neste anexo 12 recóllese o material de traballo e a base de datos empregada na tese de doutoramento titulada "Os materiais didácticos musicais en Educación Primaria. Un estudo sobre a percepción dos docentes especialistas en Educación Musical en Galicia". Os documentos que contén este anexo son os seguintes: - Respostas dos validadores e validadoras do cuestionario - Respostas obtidas no cuestionario - Resultados descritivos do cuestionario - Respostas das validadoras do guión da entrevista - Transcrición das entrevistas
description: Anexo 12 da tese de doutoramento de Antía Cores Torres (USC)
DOI: 10.5281/zenodo.7458937
title: Anexo 12. Material de traballo e base de datos

description: Neste anexo 12 recóllese o material de traballo e a base de datos empregada na tese de doutoramento titulada "Os materiais didácticos musicais en Educación Primaria. Un estudo sobre a percepción dos docentes especialistas en Educación Musical en Galicia". Os documentos que contén este anexo son os seguintes: - Respostas dos validadores e validadoras do cuestionario - Respostas obtidas no cuestionario - Resultados descritivos do cuestionario - Respostas das validadoras do guión da entrevista - Transcrición das entrevistas
description: Anexo 12 da tese de doutoramento de Antía Cores Torres (USC)
DOI: 10.5281/zenodo.7388699
title: ICB_Limagne2

description: ICB_Limagne2 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7388700
title: ICB_Limagne2

description: ICB_Limagne2 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7406836
title: ICB_Limagne2

description: ICB_Limagne2 data object generated by ORCESTRA.
DOI: 10.5281/zenodo.7458956
title: ICB_Limagne2

description: ICB_Limagne2 data object generated by ORCESTRA.
DOI: 10.17632/jfykwdgrr8.1
title: Save_The_Money

description: After the pedagogical intervention, a quantitative assessment was carried out, with the intention of verifying cognitive latency (Likert-type scale). The instrument used was the questionnaire for evaluating educational games based on motivational strategies from Keller's ARCS model, in the area of ​​game user experience (Game User Experience), as well as Bloom's taxonomy of educational objectives. The results were analyzed using descriptive statistics. As a choice for this research, we used the calculations of the mean and standard deviation in relation to the domains: Motivation and User Experience. Statistical inference tests were not used, but the Coefficient of Variation (CV) of each item that made up each of the domains was considered. This variability indicated agreement between students regarding the domain (Latency). In other words, to what extent would there be agreement on the aspects investigated in this research? An agreement equal to or less than 30% would be very similar among the participants, but values ​​greater than 30% would represent high variability, which would imply low agreement between the analyzed items. The main findings were: With regard to the domain of motivation, most indicators showed a high level of agreement among users, since attention (11%), relevance (9.9%) and satisfaction (10.5%) did not have a value greater than 30% with regard to the coefficient of variation (CV). That is, this indicates that the students reacted favorably to the game in the learning situation about the proposed content. However, the confidence indicator had a high value of disagreement, that is, it was possible to observe a variability coefficient of approximately 63.2%. Regarding user experience, it can be seen that all indicators showed a high level of agreement, as immersion (7.7%), challenge (11.4%), competence (12.5%), social interaction (11.9%) and fun (14.5%) were below 30% of the coefficient of variation. As final considerations, the study allowed observing the possibility of some improvements (redesign) in the face of some difficulties that were observed throughout the application of the game. The choice of cards within a board game as the main component of interaction with the game system, despite making the experience more practical and easier, compromised the participant's experience. Faced with the reality that today's students are digital natives, the hypothesis that the immersion attribute would be better used with the use of electronic media, since it would be closer to the reality of the participants, as it would allow the insertion of more technological resources attractive and elaborate. In this way, a closer exploration of the students' reality with the use of digital tools could bring greater coverage to this study. As an idealized product, built and tested in this research, the SaveTheMoney educational game could be applied in other educational contexts in basic education, specifically in elementary school.
DOI: 10.17632/5c7dfkwwmn.1
title: LINF_340016800

description: SET14
Leishmania infantum (strain JPCM5)
DOI: 10.17632/s6mk45p7n2.1
title: LINF_340016900

description: mitochondrial ATP-dependent zinc metallopeptidase
Leishmania infantum (strain JPCM5)
DOI: 10.17632/htw7ymc99n.1
title: Aerodynamic Coefficient of Airfoil for Ultra-Low Reynolds Number

description: With modern micro-air-vehicle developments, the need for aerodynamics understanding becomes important. The proper design of the airfoil is very helpful in fulfilling the aerodynamic concept. The flow around the airfoil can be considered ultra-low Reynolds number when it is less than 10,000 and carried out by the Navier-Stokes solver for incompressible. This solution can be approached using the Lattice Boltzmann Method (LBM). Flow simulations were carried out at Re=500 and Re=1000 with variations of the angle of attack of 30 each from 0 to 29 degree with an additional angle of 1 degree. Each simulation was carried out on 40 airfoils designed using NURBS and two NACAs. The simulation results with LBM produce the lift and drag coefficients for each airfoil.
DOI: 10.17632/fjdj58gdff.1
title: LINF_340014900

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zrmjktk992.4
title: Physiochemical data from marine post-smolt RAS 2016-2017

description: Data for temperature, pH, redox, salinity, oxygen, TAN, ammonium, nitrite, nitrate, CO2 and alkalinity in the production water of a marine post smolt recycling aquaculture system (RAS), measured over four production cycles in the operating year 2016-2017. Together with a microbiome dataset from the same period, a deeper understanding of the holistic aspects of the RAS facility is sought, aiming for increased biosecurity and fish health.
DOI: 10.17632/zrmjktk992.1
title: Physiochemical data from marine post-smolt RAS 2016-2017

description: Physichemical raw data upon Temperature, pH, Redox, Salinity, Oxygen, TAN, Ammonium, Nitrite, Nitrate,CO2, and Alcalinity in a marine RAS 2-5th. production cycle. To be used as supporting data for microbial community studies performed with microbial deep sequencing in the same period at the sampling sites; production water, biofilter biofilm, production tank wall biofilm and fish skin.
DOI: 10.17632/zrmjktk992.2
title: Physiochemical data from marine post-smolt RAS 2016-2017
DOI: 10.17632/zrmjktk992.3
title: Physiochemical data from marine post-smolt RAS 2016-2017
DOI: 10.17632/zrmjktk992.5
title: Physiochemical data from marine post-smolt RAS 2016-2017

description: Data for temperature, pH, redox, salinity, oxygen, TAN, ammonium, nitrite, nitrate, CO2 and alkalinity in the production water of a marine post smolt recycling aquaculture system (RAS), measured over four production cycles in the operating year 2016-2017. Together with a microbiome dataset from the same period, a deeper understanding of the holistic aspects of the RAS facility was investigated, aiming for increased biosecurity and fish health.
DOI: 10.17632/c92tvndtz9.1
title: Environmental Instability Triggers: Hazard clusters analysis through geoacoustic data in a large coastal lagoon in southern Brazil

description: The research data presented here are seismic profiles cover anextension of approximately 1,000 km from the Patos Lagoon, divided into three sectors (Northen, Central, Southern). Seismic records were positioned through DGPS (Differential GlobalPositioning System) and acquired with a Geopulse Subbottom Profiler, from GeoAcousticsTM, an analog and digital system that can operate within a frequency range from 2 to 12 kHz. This seismic acquisition system consisted of a Geopulse receiver (5210A), a Geopulse transmitter (5430A), and a transducer (132B, with four elements). After few tests in place to assess the geoacoustic seismic response, a 3.5 kHz frequency acquisition was selected. The seismic data acquiring, and processing were performed using software SonarWiz (Chesapeake Technology), and the data was stored in SEG-Y digital format.
DOI: 10.5066/p95q26yr
title: Diel and synoptic sampling data from Boulder Creek and South Boulder Creek, near Boulder, Colorado, September?October 2019

description: Multiple sampling campaigns were conducted near Boulder, Colorado, to quantify constituent concentrations and loads in Boulder Creek and its tributary, South Boulder Creek. Diel sampling was initiated at approximately 1100 hours on September 17, 2019, and continued until approximately 2300 hours on September 18, 2019. During this time period, samples were collected at two locations on Boulder Creek approximately every 3.5 hours to quantify the diel variability of constituent concentrations at low flow. Synoptic sampling campaigns on South Boulder Creek and Boulder Creek were conducted October 15-18, 2019, to develop spatial profiles of concentration, streamflow, and load. Numerous main stem and inflow locations were sampled during each synoptic campaign using the simple grab technique (17 main stem and 2 inflow locations on South Boulder Creek: 34 main stem and 17 inflow locations on Boulder Creek). Streamflow at each main stem location was measured using Acoustic Doppler Velocimetry. Bulk samples from all sampling campaigns were processed within one hour of sample collection. Processing steps included measurement of pH and specific conductance, and filtration using 0.45-micron filters. Laboratory analyses were subsequently conducted to determine dissolved and total recoverable constituent concentrations. Filtered samples were analyzed for a suite of dissolved anions using Ion Chromatography. Filtered, acidified samples and unfiltered acidified samples were analyzed by inductively coupled plasma-mass spectrometry and inductively coupled plasma-optical emission spectroscopy to determine dissolved and total recoverable cation concentrations, respectively. This data release includes three data tables, three photographs, and a kmz file showing the sampling locations. Additional information on the data table contents, including the presentation of data below the analytical detection limits, is provided in a Data Dictionary.
DOI: 10.5281/zenodo.7380944
title: Sample dataset - Neotree

description: This synthetic dataset was created based on the type of data collected via the Neotree platform. A comprehensive and evolving data dictionary for the Netoree is also available here.
DOI: 10.5281/zenodo.7380945
title: Sample dataset - Neotree

description: This synthetic dataset was created based on the type of data collected via the Neotree platform. A comprehensive and evolving data dictionary for the Netoree is also available here.
DOI: 10.5281/zenodo.7007756
title: ICB Data TSV Files

description: ICB data objects extracted into TSV files. Processed by using this script: https://github.com/bhklab/icb_data_exploration_and_analysis/blob/main/Code/rds_to_tsv.R. Information about each data object is available at https://www.orcestra.ca/clinical_icb. Each zip file contains patient metadata ICB_[Study]_metadata.tsv assay data ICB_[Study]_[Assay Name].tsv assay gene metadata ICB_[Study]_[Assay Name]_genes.tsv The Assay Name can be "expr", "expr_gene_tpm", "expr_gene_counts", "expr_isoform_tpm", "expr_isoform_counts". <strong>"expr" and "expr_gene_tpm" are gene expression data in TPM, which is present across all datasets.</strong> Other assay data are present if raw gene expression data were available.
DOI: 10.5281/zenodo.7007755
title: ICB Data TSV Files

description: Merged ICB clinical metadata and gene expression data in TSV files. Processed by using this script: https://github.com/bhklab/icb_data_exploration_and_analysis/blob/main/Code/merge_data/merge_data.R. Information about each data object is available at https://www.orcestra.ca/clinical_icb.
DOI: 10.5281/zenodo.7058399
title: ICB Data TSV Files

description: ICB data objects extracted into TSV files. Processed by using this script: https://github.com/bhklab/icb_data_exploration_and_analysis/blob/main/Code/rds_to_tsv.R. Information about each data object is available at https://www.orcestra.ca/clinical_icb. Each zip file contains patient metadata ICB_[Study]_metadata.tsv assay data ICB_[Study]_[Assay Name].tsv assay gene metadata ICB_[Study]_[Assay Name]_genes.tsv The Assay Name can be "expr", "expr_gene_tpm", "expr_gene_counts", "expr_isoform_tpm", "expr_isoform_counts". <strong>"expr" and "expr_gene_tpm" are gene expression data in TPM, which is present across all datasets.</strong> Other assay data are present if raw gene expression data were available.
DOI: 10.5281/zenodo.7080261
title: ICB Data TSV Files

description: ICB data objects extracted into TSV files. Processed by using this script: https://github.com/bhklab/icb_data_exploration_and_analysis/blob/main/Code/rds_to_tsv.R. Information about each data object is available at https://www.orcestra.ca/clinical_icb. Each zip file contains patient metadata ICB_[Study]_metadata.tsv assay data ICB_[Study]_[Assay Name].tsv assay gene metadata ICB_[Study]_[Assay Name]_genes.tsv The Assay Name can be "expr", "expr_gene_tpm", "expr_gene_counts", "expr_isoform_tpm", "expr_isoform_counts". <strong>"expr" and "expr_gene_tpm" are gene expression data in TPM, which is present across all datasets.</strong> Other assay data are present if raw gene expression data were available.
DOI: 10.5281/zenodo.7199344
title: ICB Data TSV Files

description: ICB data objects extracted into TSV files. Processed by using this script: https://github.com/bhklab/icb_data_exploration_and_analysis/blob/main/Code/rds_to_tsv.R. Information about each data object is available at https://www.orcestra.ca/clinical_icb. Each zip file contains patient metadata ICB_[Study]_metadata.tsv assay data ICB_[Study]_[Assay Name].tsv assay gene metadata ICB_[Study]_[Assay Name]_genes.tsv The Assay Name can be "expr", "expr_gene_tpm", "expr_gene_counts", "expr_isoform_tpm", "expr_isoform_counts". <strong>"expr" and "expr_gene_tpm" are gene expression data in TPM, which is present across all datasets.</strong> Other assay data are present if raw gene expression data were available.
DOI: 10.5281/zenodo.7406953
title: ICB Data TSV Files

description: Merged ICB clinical metadata and gene expression data in TSV files. Processed by using this script: https://github.com/bhklab/icb_data_exploration_and_analysis/blob/main/Code/merge_data/merge_data.R. Information about each data object is available at https://www.orcestra.ca/clinical_icb.
DOI: 10.5281/zenodo.7459023
title: ICB Data TSV Files

description: Merged ICB clinical metadata and gene expression data in TSV files. Processed by using this script: https://github.com/bhklab/icb_data_exploration_and_analysis/blob/main/Code/merge_data/merge_data.R. Information about each data object is available at https://www.orcestra.ca/clinical_icb.
DOI: 10.7916/d8-nc5d-ep60
title:  Transliterations and mapping of LCAAJ fieldnotes (SEYD project)