cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4263271
title: Comparativa de l'evolució de la incidència de la Covid19-Sars2 a l'Estat Espanyol respecte del conjunt d'Europa

description: <strong>Amb la finalitat de poder fer una comparativa temporal de la incidència de la Covid19-Sars2 a l’Estat Espanyol respecte del conjunt dels països d’Europa, hem recollit les dades diàries del 20 d’Octubre reportades a ambdós territoris pel que fa a:</strong> <strong>Total cases (Número total de casos): sumatori de casos de positius acumulats.</strong> <strong>New Cases (Casos nous): número diari de casos positius reportats.</strong> <strong>Total Deaths (Número total de morts): sumatori de defuncions per Covid19 acumulades.</strong> <strong>New Deaths (Morts noves): número diari de defuncions per Covid19 reportats.</strong> <strong>Total Recovered (Número total de recuperats): sumatori de casos de pacients recuperats.</strong> <strong>New Recovered (Recuperats nous): número diari de casos de pacients recuperats.</strong> <strong>Active Cases (Casos actius): sumatori del número total de casos actius de Covid19.</strong> <strong>Serious, Critical (Casos crítics): sumatori del total de malalts de Covid19 en UCIs.</strong>
DOI: 10.5281/zenodo.4244202
title: Comparativa de l'evolució de la incidència de la Covid19-Sars2 a l'Estat Espanyol respecte del conjunt d'Europa

description: <strong>Amb la finalitat de poder fer una comparativa temporal de la incidència de la Covid19-Sars2 a l’Estat Espanyol respecte del conjunt dels països d’Europa, hem recollit les dades diàries del 20 d’Octubre reportades a ambdós territoris pel que fa a:</strong> <strong>Total cases (Número total de casos): sumatori de casos de positius acumulats.</strong> <strong>New Cases (Casos nous): número diari de casos positius reportats.</strong> <strong>Total Deaths (Número total de morts): sumatori de defuncions per Covid19 acumulades.</strong> <strong>New Deaths (Morts noves): número diari de defuncions per Covid19 reportats.</strong> <strong>Total Recovered (Número total de recuperats): sumatori de casos de pacients recuperats.</strong> <strong>New Recovered (Recuperats nous): número diari de casos de pacients recuperats.</strong> <strong>Active Cases (Casos actius): sumatori del número total de casos actius de Covid19.</strong> <strong>Serious, Critical (Casos crítics): sumatori del total de malalts de Covid19 en UCIs.</strong>
DOI: 10.5281/zenodo.4263314
title: Exemple preus de tancament dels futurs elèctrics

description: <strong>El dataset que hem escollit és un conjunt de dades que es correspon amb els preus de mercat dels futurs elèctrics. Les dades estan compostes per quatre variables o atributs: ‘Dia’, ‘Preu Base (€)’ i ‘Preu Pic (€)’ del futur elèctric. S’ha pres la variable ‘Dia’ com a índex del dataset.</strong>
DOI: 10.5281/zenodo.4263313
title: Exemple preus de tancament dels futurs elèctrics

description: <strong>El dataset que hem escollit és un conjunt de dades que es correspon amb els preus de mercat dels futurs elèctrics. Les dades estan compostes per quatre variables o atributs: ‘Dia’, ‘Preu Base (€)’ i ‘Preu Pic (€)’ del futur elèctric. S’ha pres la variable ‘Dia’ com a índex del dataset.</strong>
DOI: 10.14272/fvzmrqoaqdgvpy-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C9H7N2.3C4H9.Sn/c1-7-6-10-8-4-2-3-5-9(8)11-7;3*1-3-4-2;/h2-5H,1H3;3*1,3-4H2,2H3;

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 8.06–8.04 (m, 1H, CHar), 7.93–7.90 (m, 1H, CHar), 7.64–7.59 (m, 2H, CHar), 2.77 (s, 3H, NCCH3), 1.65–1.50 (m, 6H, CH2), 1.38–1.29 (m, 6H, CH2), 1.26–1.16 (m, 6H, CH2), 0.87 (t, 3J = 7.3 Hz, 9H, CH2CH3).Spectrum contains unknown impurity at 2.25 ppm.
DOI: 10.14272/fvzmrqoaqdgvpy-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C9H7N2.3C4H9.Sn/c1-7-6-10-8-4-2-3-5-9(8)11-7;3*1-3-4-2;/h2-5H,1H3;3*1,3-4H2,2H3;

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, CDCl3 [77.0 ppm], ppm) δ = 174.2 (s,d, d, 1JC, 117Sn = 1JC, 119Sn = 424.2 Hz, 1JC, Sn = 424.2 Hz, CqSn, 1C), 158.0 (s,d, 2JC, Sn = 75.3 Hz, CqCH3, 1C), 142.2 (s,d, 3JC, Sn = 52.3 Hz, Cq, 1C), 140.2 (1C, Cq), 129.3 (1C, CHar), 129.2 (1C, CHar), 128.5 (1C, CHar), 128.0 (1C, CHar), 29.0 (s, d, 3JC, Sn = 20.4 Hz, 3C, 3x CH2CH3), 27.2 (s, d, d, 2JC, 119Sn = 57.9 Hz, 2JC, 117Sn = 57.8 Hz, 3C, 3x SnCH2CH2), 25.5 (1C, NCCH3), 13.6 (3C, 3x CH3), 10.7 (s, d, d, 1JC, 119Sn = 333.2 Hz, 1JC, 117Sn = 332.2 Hz, 3C, 3x SnCH2).
DOI: 10.14272/fvzmrqoaqdgvpy-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C9H7N2.3C4H9.Sn/c1-7-6-10-8-4-2-3-5-9(8)11-7;3*1-3-4-2;/h2-5H,1H3;3*1,3-4H2,2H3;

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2953 (m), 2919 (m), 2870 (w), 2850 (m), 1560 (w), 1528 (w), 1475 (w), 1462 (m), 1456 (m), 1418 (m), 1374 (m), 1327 (m), 1300 (m), 1288 (m), 1248 (w), 1237 (w), 1194 (m), 1150 (w), 1128 (m), 1118 (m), 1072 (m), 1028 (s), 996 (m), 959 (m), 873 (m), 866 (m), 788 (m), 758 (vs), 691 (s), 666 (s), 609 (vs), 598 (s), 567 (s), 510 (s), 487 (s), 414 (s) cm–1. Data taken from another reaction with the same product.
DOI: 10.14272/fvzmrqoaqdgvpy-uhfffaoysa-n.1
title: 2-methyl-3-(tributylstannyl)quinoxaline
title: InChI=1S/C9H7N2.3C4H9.Sn/c1-7-6-10-8-4-2-3-5-9(8)11-7;3*1-3-4-2;/h2-5H,1H3;3*1,3-4H2,2H3;

description: This dataset contains experimental data from a sample (InChI=1S/C9H7N2.3C4H9.Sn/c1-7-6-10-8-4-2-3-5-9(8)11-7;3*1-3-4-2;/h2-5H,1H3;3*1,3-4H2,2H3;). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/fvzmrqoaqdgvpy-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C9H7N2.3C4H9.Sn/c1-7-6-10-8-4-2-3-5-9(8)11-7;3*1-3-4-2;/h2-5H,1H3;3*1,3-4H2,2H3;

description: dataset for mass spectrometry (MS) MS (FAB, 3-NBA), m/z (%): 435 [M]+ (25), 434 (19), 377 (22), 375 (17), 265 (29), 264 (19), 263 (72), 262 (31), 261 (53), 260 (19), 259 (25), 177 (28), 145 (100).HRMS (FAB, C21H35N2120Sn1): calcd 435.1817, found 435.1819.Data taken from another reaction with the same product.
DOI: 10.17632/2hz5tb5xn6.8
title: Data for: Increase in asthma prevalence in adults in temporary housing after the Great East Japan Earthquake

description: Background: It is unknown whether disasters such as earthquakes and tsunamis affect asthma development or exacerbation in the elderly. Here, we investigated whether asthma prevalence increased in the elderly living in temporary housing after the Great East Japan Earthquake. Methods: We diagnosed asthma according to GINA guidelines in residents 15 years or older who were living, or had lived, in temporary housing in the city of Ishinomaki. We analyzed serum antigen-specific anti-immunoglobulin E (IgE) antibody levels to Dermatophagoides farinae (Der f), Aspergillus fumigatus, Aspergillus glaucus, Aspergillus amstelodami, and Aspergillus restrictus. Results: The average age of the 337 inhabitants was 61.3 ± 15.8 years (men, 37.7% ). The asthma prevalence was 24.9% by specialist diagnosis. The antigen-specific IgE antibody titer against Der f, but none of the other test antigens, was significantly higher in the asthma group than in the no-asthma group (P &lt; 0.01). Time of asthma onset was before the earthquake, 44.6%; in shelters, 9.5%, and after moving into temporary housing, 45.9%. In 71.4% of asthmatics there was exacerbation of asthma after temporary housing occupancy. Logistic regression revealed that the risk factors for developing asthma after moving into temporary housing were more middle-aged (P &lt; 0.05), allergic rhinitis or allergic conjunctivitis (P &lt; 0.05), family asthma history (P &lt; 0.05), never having smoked (P &lt; 0.01), and peripheral airways disorder (lower % V50) (P &lt; 0.05), but not depression. Conclusions: The earthquake and tsunami disasters increased mite allergen sensitization and exacerbation or development of asthma in elderly residents.
DOI: 10.5281/zenodo.4263304
title: Panorámica actual de empleo - Data Scientist

description: Description
DOI: 10.6084/m9.figshare.13204313
title: R0216-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0216."_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.13204313.v1
title: R0216-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0216."_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.4263326
title: Datos Partidos LFP

description: Estos tres ficheros CSV son el resultado de aplicar técnicas de web scraping desarrolladas en lenguaje Python para extraer datos de la liga de futbol profesional LFP de la web https://es.fcstats.com/partidos,primera-division-espana,19,1,3023.php y generar 3 datasets. Cada fichero contiene la información de: - partidos.csv: datos referentes a los partidos junto con las estadísticas de cada equipo. - alineaciones.csv: datos de la participación de los jugadores en cada partido. - eventos.csv: datos de los eventos que ocurren en cada partido.
DOI: 10.5281/zenodo.4263325
title: Datos Partidos LFP

description: Estos tres ficheros CSV son el resultado de aplicar técnicas de web scraping desarrolladas en lenguaje Python para extraer datos de la liga de futbol profesional LFP de la web https://es.fcstats.com/partidos,primera-division-espana,19,1,3023.php y generar 3 datasets. Cada fichero contiene la información de: - partidos.csv: datos referentes a los partidos junto con las estadísticas de cada equipo. - alineaciones.csv: datos de la participación de los jugadores en cada partido. - eventos.csv: datos de los eventos que ocurren en cada partido.
DOI: 10.6084/m9.figshare.13206008
title: wind_data.txt

description: The wind power data available from Pan-Canadian Wind Integration Study is introduced, and how we use these data to perform the numerical experiments in the paper "Addressing the Wind Power Forecast Errors in Unit Commitment by Distributionally Robust Optimization" is described.<br>
DOI: 10.6084/m9.figshare.13206008.v1
title: wind_data.txt

description: The wind power data available from Pan-Canadian Wind Integration Study is introduced, and how we use these data to perform the numerical experiments in the paper "Addressing the Wind Power Forecast Errors in Unit Commitment by Distributionally Robust Optimization" is described.<br>
DOI: 10.6084/m9.figshare.13176383
title: tabla 1 (El comportamiento disruptivo en el personal sanitario, una revisión sistemática).pdf

description: Systematic Review Results
DOI: 10.6084/m9.figshare.13176383.v1
title: tabla 1 (El comportamiento disruptivo en el personal sanitario, una revisión sistemática).pdf

description: Systematic Review Results
DOI: 10.5281/zenodo.4263349
title: Videogame data from Instant-Gaming

description: The dataset contains a list of variables for every video game in the online store Instant-Gaming, scraped on November 5, 2020. The most relevant variables are: price, discount, platform, and rating.
DOI: 10.5281/zenodo.4263348
title: Videogame data from Instant-Gaming

description: The dataset contains a list of variables for every video game in the online store Instant-Gaming, scraped on November 5, 2020. The most relevant variables are: price, discount, platform, and rating.
DOI: 10.5281/zenodo.4263366
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: 10.5281/zenodo.4262215
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: 10.5281/zenodo.4263373
title: Long read proteogenomics codeathon

description: Datasets for the CSHL LRP Codeathon team
DOI: 10.5281/zenodo.4263379
title: historico indices mercado hipotecario y vivienda de españa a 8 de noviembre de 2020

description: serie histórica integrada por los índices de referencia del mercado hipotecario español (EURIBOR, MIBOR, …) publicados por la AHE en su página web. Dicha asociación se encarga de recopilar esta la información de estas series publicadas por diferentes instituciones (BCE, BdE, …). Por otro lado, se ha agregado al dataset información publicada por INE y el Ministerio de Vivienda relativas a la evolución del mercado de la vivienda (número de compraventa mensual de viviendas, precio medio de la vivienda, …). Se añaden series historicas con el importe medio de venta y alquiler por m2
DOI: 10.5281/zenodo.4263378
title: historico indices mercado hipotecario y vivienda de españa a 8 de noviembre de 2020

description: serie histórica integrada por los índices de referencia del mercado hipotecario español (EURIBOR, MIBOR, …) publicados por la AHE en su página web. Dicha asociación se encarga de recopilar esta la información de estas series publicadas por diferentes instituciones (BCE, BdE, …). Por otro lado, se ha agregado al dataset información publicada por INE y el Ministerio de Vivienda relativas a la evolución del mercado de la vivienda (número de compraventa mensual de viviendas, precio medio de la vivienda, …). Se añaden series historicas con el importe medio de venta y alquiler por m2
DOI: 10.5281/zenodo.4263345
title: Geomechanical characterisation of discontinuous greywacke from the Wellington region based on laboratory testing: Dataset

description: Greywacke rock masses are the most prominent bedrock type across New Zealand, forming approximately 20 % of the country. This paper reviews the publicly available laboratory testing data on the geomechanical properties of greywacke from the Wellington region and compares the results with two recent studies. This includes compilations of density, unconfined compressive strengths, tensile strengths, Poisson’s ratio, Young’s Modulus, and m<sub>i</sub> factor. This paper also presents the first published geomechanical data from a cataclasite zone in the greywacke of the Wellington region. The overall results presented in this paper highlight the influence of both weathering and discontinuities on the geomechanical properties derived from the testing of core samples. The results are discussed in the context of sampling bias, scale effects and recent developments in the geomechanical characterisation of discontinuous rock. Two different approaches for characterising the rock mass geomechanical properties of greywacke at the project-scale are presented. The first approach uses the GSI as the main parameter to capture the change in rock mass character with depth while the UCS remains constant. The second approach uses the UCS as the main parameter to capture the change in rock mass character with depth while the GSI value remains constant.
DOI: 10.6084/m9.figshare.13204046
title: R0197-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0197."_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.13204046.v1
title: R0197-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0197."_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.4263394
title: Suspicious Store DataSet

description: Малий набір даних про групу магазинів частина яких важається шахрайською.Датасет необхіден для навчання алгоритму що повинен знаходити недостовірні магазини.В датасеті негативні відмічені полем Good-0.
DOI: 10.5281/zenodo.4263393
title: Suspicious Store DataSet

description: Малий набір даних про групу магазинів частина яких важається шахрайською.Датасет необхіден для навчання алгоритму що повинен знаходити недостовірні магазини.В датасеті негативні відмічені полем Good-0.
DOI: 10.25505/fiz.icsd.cc26l285
title: CSD 2043156: Experimental Crystal Structure Determination

description: Related Article: Andrey Ilyukhin|2020|ICSD Communication|||
DOI: 10.6084/m9.figshare.13204082
title: README

description: README file for the data packages in the project.
DOI: 10.5281/zenodo.4263405
title: Dataset IBEX 35

description: Como resultado de esta práctica, obtenemos un conjunto de datos, que nos muestra un resumen de la evolución de los distintos índices del IBEX 35, obtenidos de la web de la Bolsa de Madrid.
DOI: 10.5281/zenodo.4263404
title: Dataset IBEX 35

description: Como resultado de esta práctica, obtenemos un conjunto de datos, que nos muestra un resumen de la evolución de los distintos índices del IBEX 35, obtenidos de la web de la Bolsa de Madrid.
DOI: 10.5281/zenodo.4263399
title: Shares of stock during COVID 19 in automotive sector

description: This data set includes stock information for the companies Tesla, Porsche, Nio and Ferrari for each day from the date 11/08/2019 to 11/08/2020. Specifically, it shows information about the opening, closing, maximum and minimum price of the session, as well as the volume, the dividends granted to investors and the presence of stock splits generated per day. This dataste has been created with the aim to analyze how the quotes have been evolving during the COVID-19 pandemic in the automotive sector. The AccionesSectorAutomovil.xlsx dataset contains 4 sheets (TESLA, PAH3.DE, NIO, RACE ) and 9 variables per sheet: - Fecha: date in dd/MM/yyyy format<br> - Abrir: value of the share at the market opening expressed in US dollars (USD)<br> - Max: maximum value of the share throughout the day expressed in USD<br> - Cierre*: value of the share at the close of the market expressed in USD<br> - Cierre ajus.*: estimated share value at market close, expressed in USD.<br> - Volumen: the amount of a specific asset invested in during a day.<br> - Dividends: money received by shareholders in the form of dividends that day.<br> - Stock Splits: Whether or not a stock split operation was carried out that day. For more information about the project visit the link on [Github](https://github.com/paulamlago/Financial-Web-Scrapping)
DOI: 10.5281/zenodo.4263398
title: Shares of stock during COVID 19 in automotive sector

description: This data set includes stock information for the companies Tesla, Porsche, Nio and Ferrari for each day from the date 11/08/2019 to 11/08/2020. Specifically, it shows information about the opening, closing, maximum and minimum price of the session, as well as the volume, the dividends granted to investors and the presence of stock splits generated per day. This dataste has been created with the aim to analyze how the quotes have been evolving during the COVID-19 pandemic in the automotive sector. The AccionesSectorAutomovil.xlsx dataset contains 4 sheets (TESLA, PAH3.DE, NIO, RACE ) and 9 variables per sheet: - Fecha: date in dd/MM/yyyy format<br> - Abrir: value of the share at the market opening expressed in US dollars (USD)<br> - Max: maximum value of the share throughout the day expressed in USD<br> - Cierre*: value of the share at the close of the market expressed in USD<br> - Cierre ajus.*: estimated share value at market close, expressed in USD.<br> - Volumen: the amount of a specific asset invested in during a day.<br> - Dividends: money received by shareholders in the form of dividends that day.<br> - Stock Splits: Whether or not a stock split operation was carried out that day. For more information about the project visit the link on [Github](https://github.com/paulamlago/Financial-Web-Scrapping)
DOI: 10.21227/717k-nb29
title: my_first_subnission

description: Just a first submission
DOI: 10.21227/mc1j-ph21
title: my_second_submission

description: second try
DOI: 10.5281/zenodo.4263423
title: Bonpreu-Esclat Online Supermarket Products

description: Dataset obtingut capturant tots els productes que s'ofereixen al supermercat online de Bonpreu-Esclat. Durant aquesta captura hem obtingut informació com: el nom del producte, el seu preu, la quantitat de producte, el preu per unitat de referència, cinc categories de classificació, si el producte es troba en oferta o no, quina promoció té, l'enllaç url del producte i la data en la que s’han obtingut els valors. Les dades han estat capturades diàriament al llarg de la setmana del 02/11/2020 al 06/11/2020 i finalment s'han agrupat totes en un únic dataset on es pot veure l'evolució temporal de la informació continguda.
DOI: 10.5281/zenodo.4263422
title: Bonpreu-Esclat Online Supermarket Products

description: Dataset obtingut capturant tots els productes que s'ofereixen al supermercat online de Bonpreu-Esclat. Durant aquesta captura hem obtingut informació com: el nom del producte, el seu preu, la quantitat de producte, el preu per unitat de referència, cinc categories de classificació, si el producte es troba en oferta o no, quina promoció té, l'enllaç url del producte i la data en la que s’han obtingut els valors. Les dades han estat capturades diàriament al llarg de la setmana del 02/11/2020 al 06/11/2020 i finalment s'han agrupat totes en un únic dataset on es pot veure l'evolució temporal de la informació continguda.
DOI: 10.6084/m9.figshare.3761562.v1671
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.13206035
title: R0195-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0195."_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.13206035.v1
title: R0195-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0195."_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.4263439
title: friberaf_manelbenavides

description: Aquests datasets contenen un històric de les classificacions de la lliga de primera divisió espanyola desde la temporada 2001-2002 fins a la temporada actual i un històric de tots els partits disputats a la primera divisió espanyola desde la temporada 2001-2002 fins la temporada anterior a la actual.
DOI: 10.5281/zenodo.4263438
title: friberaf_manelbenavides

description: Aquests datasets contenen un històric de les classificacions de la lliga de primera divisió espanyola desde la temporada 2001-2002 fins a la temporada actual i un històric de tots els partits disputats a la primera divisió espanyola desde la temporada 2001-2002 fins la temporada anterior a la actual.
DOI: 10.5281/zenodo.4263443
title: Pets in Shelter CAACB 26.10.2020

description: Data from animals living on the Shelter "Centre d'Acollida d'Animals de Companyia de Barcelona" including information regarding type, race, weight, gender