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10 results for “Webscrapping”
African Swine Fever Worldwide Epidemiology Data - OIE Webscrape example - Geocoded using Google API and Manual
<p>Example African Swine Fever dataset generated by programs described in following publication </p> <p>Title: Web-scraping programmatic techniques in aggregating difficult to access OIE WAHIS animal disease outbreak information; using African Swine Fever in Europe as an example.</p> <p>Short running title: Methods for web-scraping OIE WAHIS data.</p> <p>Abstract: This study describes and makes available new methods for acquiring difficult to access, publicly available, disease surveillance data. It uses World Organisation for Animal Heath (OIE) data on African Swine Fever (ASF) outbreaks in Belarus and its neighbouring European countries to showcase the importance of adequate disease surveillance data to inform decision-making. The data acquired from these methods allow for large-scale, geospatial outbreak mapping and summary statistics of any terrestrial disease listed on the OIE World Animal Health Information System (WAHIS) database. These techniques will make important epidemiological data more accessible to the scientific community and aid in gaining further insight into the occurrence and spread of OIE listed diseases in a timely manner, fulfilling an important function of disease surveillance.</p>
Codes and Datasets for: 'The Largest Academic Publishers of Scholarly Journals: A Webscraping Approach'
<p>This set comprises:</p> <ul> <li>"<strong>count_publishers*</strong>": four R codes ("count_publishers*") that draw from <em>DOAJ</em>, <em>Publons</em>, <em>Scopus </em>and <em>SherpaRomeo</em> to extract scholarly publishers and the journal counts assigned to each publisher;</li> <li>"<strong>data*</strong>": two underlying data samples (from <em>DOAJ </em>and <em>Scopus</em>) - the two other samples are accessed via webscraping;</li> <li>"<strong>harmonize*</strong>": one text-file and one R-code for harmonizing publisher names;</li> <li>"<strong>alljournals.xlsx</strong>": the resulting list of scholarly publishers ordered by the highest number of journal counts assigned to them.</li> </ul>
Pokemon Dataset from Wikidex.net Webscraping
<p>Dataset created for the PR1 of <strong>M2.851 </strong><strong>Tipología y Ciclo de Vida de los Datos (UOC, 2023-2)</strong></p> <p>By Laura Lidón and Carlos Juan.</p> <p>Webscraping of www.wikidex.net</p> <p>For each Pokémon, the following variables or attributes are shown:</p> <ul> <li> <p>NumNacional (int): identifying number of the Pokémon.</p> </li> <li> <p>Nombre (text): Pokémon's name in Spanish.</p> </li> <li> <p>NombreJapo (text): Pokémon's name in Japanese and (romanized).</p> </li> <li>Evoluciona (bool): Flag to indicate if the Pokemon evolves</li> <li> <p>Generación(text): the generation to which the Pokémon belongs</p> </li> <li> <p>Categoría(text): brief description of the Pokémon.</p> </li> <li> <p>Tipos(text):elemental types to which the Pokémon belongs. It can have 1 or 2 types, separated by "|".</p> </li> <li> <p>Habilidades (text)<strong>:</strong> main ability or abilities that a Pokémon species can have. It can have 1 or 2 types, separated by "|".</p> </li> <li> <p>Hab.Oculta (text)<strong>:</strong> ability that Pokémon of the same species uncommonly exhibit. It can have None or 1.</p> </li> <li> <p>Peso (float): average weight of the Pokémon in Kg.</p> </li> <li> <p>Altura (float): average height of the Pokémon in m.</p> </li> <li> <p>GrupoHuevo (text): compatibility group for Pokémon breeding. It can belong to two different egg groups.</p> </li> <li> <p>Sexo (text): proportion of Pokémon belonging to one gender or the other (M|F).</p> </li> <li> <p>Color (text): description of the Pokémon's main color.</p> </li> <li> <p>PS_Max (int): maximum value of the Pokémon's Hit Points.</p> </li> <li> <p>At_Max (int): maximum value of the Pokémon's physical attack.</p> </li> <li> <p>Def_Max (int): maximum value of the Pokémon's special attack.</p> </li> <li> <p>AtEsp_Max (int): maximum value of the Pokémon's physical defense.</p> </li> <li> <p>DefEsp_Max (int): maximum value of the Pokémon's special defense.</p> </li> <li>Vel_Max (int): maximum value of the Pokémon's speed.<strong></strong></li> <li>PE_PS (int): Effort points of HP given when defeated</li> <li>PE_At (int): Effort points of Atack given when defeated</li> <li>PE_Def (int): Effort points of Defense given when defeated</li> <li>PE_AtEsp (int): Effort points of Special Atack given when defeated</li> <li>PE_DefEsp (int): Effort points of Special defense given when defeated</li> <li>PE_Vel (int): Effort points of Speed given when defeated</li> </ul> <p> </p>
Webscraping XEMA
<p>Scraping del llistat i mètriques de les estacions meteorològiques automàtiques de Catalunya (XEMA).</p>
cazy_webscraper manuscript additional files
<p>Additional files that accompany the manuscript: cazy_webscraper: local compilation and interrogation of comprehensive CAZyme datasets</p>
Dataset Webscraping AtomicHub
<p>Este dataset ha sido generado mediante webscraping a la página de AtomicHub. Contiene datos como el código de asset o los precios. También contiene un dataset de los mismos assets con los datos disponibles mediante API, para corroborar que el webscraping ha sido exitoso.</p>
PRA1_WebScrapping
<p>Datasets generados en el marco de la PRA1 de la asignatura "Tipología y ciclo de vida de los datos".</p> <ol> <li> <p><em>provincias_argentina.csv</em>: Información demográfica y socioeconómica de las provincias de Argentina.</p> </li> <li> <p><em>especies.json:</em> Información georeferenciada de la distribución de los mamíferos de Argentina, junto con el nombre científico y su categoría de conservación.</p> </li> <li> <p><em>areas_protegidas.zip: </em>Información georeferenciada de la extensión de las áreas protegidas de Argentina.</p> </li> </ol>
UOC-Webscraping
<p>Immobles en venda o lloguer a Andorra</p>
WebScrapping Cocktail DB
<p>Datasets obtenidos a partir de la realizacion de webscrapping por HTML y API de la web: https://www.thecocktaildb.com/</p>
WebScrapping Cocktail HTML
<p>WebScrapping Cocktail HTML</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.