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104 results for “scraping”
Web-scraping Clasificación actualizada de equipos de fútbol profesional en las ligas europeas
<p>Un dataset es un una colección de datos, normalmente tabulada. En este caso el conjunto de datos procede de la página oficial del mayor organismo futbolístico a nivel europeo.</p> <p>La información que pública la UEFA corresponde, entre otra, a todas las ligas con sus correspondientes clasificaciones de los equipos según los partidos que han jugado.</p> <p>Los datos extraídos corresponden precisamente a todos los equipos de estas ligas europeas con los puntos, posiciones, partidos… de cada uno de ellos. De ahí que se haya escogido el nombre anteriormente mencionado: Clasificación actualizada de equipos de fútbol profesional en las ligas europeas.</p>
CoqStoq: A Dataset of Coq Proofs Scraped from GitHub and a Corresponding Benchmark
<p>CoqStoq is a dataset of Coq Proofs scraped from GitHub. CoqStoq contains proofs from 2,205 open source projects and includes a benchmark on proofs from 12 projects. This repository includes the projects from CoqStoq's benchmarks and the processed proof data collected by CoqStoq.</p>
Scraping_Recipes
<p>Recipes dataset obtained from https://www.recetasgratis.net which contains recipe link, name, ingredients, diners, difficulty and duration.</p>
WEB SCRAPING COCHES.COM
<p>This is a dataset that collects thousands of car's features from second hand vehicle web name as coches.com</p>
Anàlisi comparativa de Preus de Supermercat: Un Conjunt de Dades Extret a Partir de Web Scraping
<p>Aquesta base de dades ofereix un recull detallat de dades sobre els preus i els productes de tres de les principals cadenes de supermercats d'Espanya: Consum, Dia i Supermercats Mas. Les tècniques avançades de recopilació de dades de la web es van utilitzar per recopilar dades per a anàlisis comparatives de preus, investigacions de mercat i estudis acadèmics sobre economia de consumidor.</p> <p>Les dades es van obtenir l'14 de febrer de 2024 i representen els preus i la disponibilitat de productes en aquella data específica. Cada registre del dataset conté la següent informació per a cada producte listat:</p> <ul> <li>Nom del producte</li> <li>Marca</li> <li>Preu</li> <li>Supermercat on el producte és venut</li> <li>URL directa a la pàgina del producte per a més informació</li> </ul> <p>El procés de recollida de dades es va dur a terme a través de scripts de Python, utilitzant la llibreria <code>Selenium</code> per interactuar amb els llocs web dinàmics de Consum i <code>BeautifulSoup</code> per obtenir dades dels llocs web més estàtics de Dia i Supermercados Mas. Aquest enfocament assegura una recollida de dades precisa i actualitzada, adaptant-se als diferents entorns web dels supermercats.</p>
Scraped Data BikeMI 2015
<p>Scraped BikeMI (Milan, Italy, bike sharing) data, year 2015</p> <p>CSV file</p> <p>fields for the "electrical" CSV are:</p> <p>date (YYMMDDHHMM) : location name : bikes : electrical : free slots (if 0 the station is full)</p> <p>fields for the "no-electrical" CSV are:</p> <p>date (YYMMDDHHMM) : location name : bikes : free slots (if 0 the station is full)</p> <p>field separator is ":"</p>
Web scraping: Datos meteorológicos para predicción del tiempo en hoteles.
<p>Recopiliación de las previsiones meterológicas de varias localizaciones de la web Ventusky para su posterior tratamiento.</p> <p>Consta de un total de 11 campos o atributos:</p> <ul> <li> <p>Destino (ubicación seleccionada)</p> </li> <li> <p>Hora actual (hora de la petición)</p> </li> <li> <p>Fecha actual (fecha de la petición)</p> </li> <li> <p>Hora de pronóstico (24 h de pronostico tras la hora de petición)</p> </li> <li> <p>Temperatura (ºC)</p> </li> <li> <p>Precipitación (% probabilidad de lluvia)</p> </li> <li> <p>Velocidad del viento (km/h)</p> </li> <li> <p>Ráfagas de viento (velocidad máxima)</p> </li> <li> <p>Previsión de olas (m)</p> </li> <li> <p>AQI (calidad del aire microgramos/m3)</p> </li> <li> <p>Descripción AQI (Bueno, Moderado, No saludable para grupos sensibles, No saludable, Muy poco saludable, Peligroso).</p> </li> </ul>
cotxes_dataset_scraping
<p>Aquest dataset conté informació sobre vehicles de segona mà (AutoVivo: https://store.autovivo.es/) recullida fent web scraping. Cada fila del dataset correspon a un vehicle determinat i cada columna a característiques clau. Això facilitar l'exploració i comparació de vehicles, optimitzant així la presa de decisions i compra de vehicles de segona mà. </p>
Text-fig. 14. Longitudinal scraping marks on radius 98-595-B, root traces visible on the shaft. in Consumption Of Canid Meat At The Gravettian Předmostí Site, The Czech Republic
Text-fig. 14. Longitudinal scraping marks on radius 98-595-B, root traces visible on the shaft.
Scraping financiero de empresas tecnológicas
<p>El dataset resultante consta de 2 dataframes que se traducen en dos ficheros csv generados. Por una parte, el primero de ellos “Income” hace referencia al estado de ingresos de las distintas compañías en los diferentes ejercicios. Por la otra, el dataset “Balance” hace referencia al balance de las empresas.</p>
Web Scraping a Fitia
<p><em>Dataset</em> sobre la informació calòrica dels aliments emprats per Fitia a l'hora de calcular les ingestes diàries dels seus usuaris. </p> <p>Hi ha 492 files i 5 columnes:</p> <ol> <li>Número de fila (numèric)</li> <li>Nom de l'aliment (string)</li> <li>Porció (string)</li> <li>Kcal (string)</li> <li>Categoria (string)</li> </ol>
Corpora Scraped from /r/youtubers and /r/uberdrivers
<p>To investigate the status of platform workers’ deliberations, two corpuses were produced from “conversation data from a large online community dedicated to” the platforms of interest, YouTube and Uber <a href="#_ftn1">[1]</a>. Following Bucher et al. (2021), both corpuses were built to supplement existing literature. Instead of relying solely on others’ surveys of platform workers’ experiences, the research question dealing with the articulation of platform workers’ voices was probed directly. These data, gathered from “/r/youtubers” and “/r/uberdrivers” on Reddit, thus sought to reveal the content of platform workers’ deliberations and to what extent they evidence inquiry and continuous learning in the pragmatist sense. The top 1000 “discussion threads from the online community” were scraped. These included 1000 initial posts and 5 comments for each post, producing a total of 6000 total posts from each subreddit.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> Bucher, Schou, and Waldkirch, “Pacifying the Algorithm – Anticipatory Compliance in the Face of Algorithmic Management in the Gig Economy.”</p>
Prefatory Study to Explore Changes in Nasal Mucociliary Clearance and to Standardize Nasal Scraping Procedure
ClinicalTrials.gov study NCT03086707. IPD Sharing: NO. Countries: 1. Publications: 1.
Convergent evolution of failure- and wear-prevention in radulae of rock-scraping land snails (Chondrinidae, Gastropoda)
Open the record for dataset details and reuse information.
Scraped Data BikeMI 2018
<p>Scraped BikeMI (Milan, Italy, bike sharing) data, year 2018</p> <p>CSV file</p> <p>fields:</p> <p>date_YYMMDDHHMM:LAT:LON:location_name:bikes:electrical:children:free_slots</p> <p>field separator is ":"</p>
Scraped Data BikeMI 2016
<p>Scraped BikeMI (Milan, Italy, bike sharing) data, year 2016</p> <p>CSV file</p> <p>fields:</p> <p>date_YYMMDDHHMM:LAT:LON:location_name:bikes:electrical:children:free_slots</p> <p>field separator is ":"</p>
FIGURE 20 in Separation of Anthalona gen.n. from Alona Baird, 1843 (Branchiopoda: Cladocera: Anomopoda): morphology and evolution of scraping stenothermic alonines
FIGURE 20. Anthalona verrucosa verrucosa (Sars, 1901) comb. nov = Alona verrucosa Sars, 1901. Parthenogenetic females from temporary dune pools at the Lençóis Maranhenses, Brazil. A. Habitus (cultured from dry mud). B. Idem, from original
FIGURE 17. Alona obtusa n in Separation of Anthalona gen.n. from Alona Baird, 1843 (Branchiopoda: Cladocera: Anomopoda): morphology and evolution of scraping stenothermic alonines
FIGURE 17. Alona obtusa n. sp. Parthenogenetic females from pond at Palangka Raya University Campus, Borneo. A. First limb, anterior view, IDL and ODL omitted. B. Idem, anterior view (to show soft setae). C. Idem, IDL, ODL and accessory seta.
FIGURE 14 in Separation of Anthalona gen.n. from Alona Baird, 1843 (Branchiopoda: Cladocera: Anomopoda): morphology and evolution of scraping stenothermic alonines
FIGURE 14. Anthalona mediterranea (Yalim, 2005) comb. nov. = Alona mediterranea Yalim, 2005. Parthenogenetic females from pool at Homhill, Socotra Island (Yemen). A. First maxilla. B. First limb, complete, anterior view. C. Idem, IDL and ODL. D. Idem, anterior side to show reduced soft setae (arrows). E. Second limb. F. Idem, scraper eight. G. Idem, exopodite. H. Idem,
FIGURE 25 in Separation of Anthalona gen.n. from Alona Baird, 1843 (Branchiopoda: Cladocera: Anomopoda): morphology and evolution of scraping stenothermic alonines
FIGURE 25. Three Anthalona taxa with uncertain identity versus Anthalona verrucosa (Sars, 1901). A.–B. Type species of the genus, Anthalona verrucosa (Sars, 1901) from São Paulo, Brazi (Sars 1901). No holotypes or paratypes were selected by Sars, paralectotypes were selected later by Valdivia-Villar, see Fig. 22. Drawings after Sars (1901; as Alona verrucosa). C.–D. Alona rectangula sensu Daday (1905) = Biapertura pseudoverrucosa pseudoverrucosa (Smirnov, 1971) from Paraguay (Daday 1905). We regard it here as a synonym of A. verrucosa, but more than one species may yet be found in the Neotropics. Drawings after Daday (1905). E.–F. Alona alonopsiformis Brehm, 1933 from Philippines. Identity of this taxon is unknown, no types exist. Drawings after Brehm (1933). G.–J. Alona verrucosa lineolata Chen & Li, 1991 from China. Identity unknown, body shape and striation as Anthalona mediterranea, which may be identical. Drawings after Chen et al. (1991). Habitus of parthenogenetic females (A, C, E, G), postabdomen (B, D, F, H), head pores (I) and labrum (J).
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OpenNeuro
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