QBLink-KG is a modified version of QBLink, which is a high-quality benchmark for evaluating conversational understanding of Wikipedia content.QBLink consists of sequences of up to three hand-crafted queries, with responses being single-named entities that match the titles of Wikipedia articles.For the QBLink-KG, the English subset of the DBpedia snapshot from September 2021 was used as the target Knowledge Graph. QBLink answers provided as the titles of Wikipedia infoboxes can be easily mapped to DBpedia entity URIs - if the corresponding entities are present in DBpedia - since DBpedia is constructed through the extraction of information from Wikipedia infoboxes.QBLink, in its original format, is not directly applicable for Conversational Entity Retrieval from a Knowledge Graph (CER-KG) because knowledge graphs contain considerably less information than Wikipedia. A named entity serving as an answer to a QBLink query may not be present as an entity in DBpedia. To modify QBLink for CER over DBpedia, we implemented two filtering steps: 1) we removed all queries for which the wiki_page field is empty, or the answer cannot be mapped to a DBpedia entity or does not match to a Wikipedia page. 2) For the evaluation of a model with specific techniques for entity linking and candidate selection, we excluded queries with answers that do not belong to the set of candidate entities derived using that model.The original QBLink dataset files before filtering are:QBLink-train.jsonQBLink-dev.jsonQBLink-test.jsonAnd the final QBLink-KG files after filtering are:QBLink-Filtered-train.jsonQBLink-Filtered-dev.jsonQBLink-Filtered-test.jsonWe used below references to construct QBLink-KG:Ahmed Elgohary, Chen Zhao, and Jordan Boyd-Graber. 2018. A dataset and baselines for sequential open-domain question answering. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 1077–1083, Brussels, Belgium. Association for Computational Linguistics.https://databus.dbpedia.org/dbpedia/collections/dbpedia-snapshot-2021-09Lehmann, Jens et al. ‘DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia’. 1 Jan. 2015 : 167 – 195.To give more details about QBLink-KG, please read our research paper:Zamiri, Mona, et al. "Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph", The Web Conference 2024.

This chart provides a detailed overview of the number of El Salvador online retailers by Number of Employee. Most El Salvador stores' Number of Employee are Less than 10, there are 533 stores, which is 86.67% of total. In second place, 13 stores' Number of Employee are 20 to 50, which is 2.11% of total. Meanwhile, 12 stores' Number of Employee are 10 to 20, which is 1.95% of total. This breakdown reveals insights into El Salvador stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

This chart provides a detailed overview of the number of El Salvador online retailers by Monthly Views. Most El Salvador stores' Monthly Views are Less than 100, there are 492 stores, which is 41.62% of total. In second place, 357 stores' Monthly Views are 100 to 1K, which is 30.20% of total. Meanwhile, 220 stores' Monthly Views are 1K to 10K, which is 18.61% of total. This breakdown reveals insights into El Salvador stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

MATLAB code for simulating the 2D model

This chart illustrates the estimated sales amounts generated by stores on various platforms within El Salvador. VTEX shows a significant lead, with total sales amounting to $56.45B, which constitutes 98.91% of the region's total sales on platforms. SAP Commerce Cloud reports sales of $572.33M, accounting for 1.00% of the total platform sales in El Salvador. WooCommerce also holds a notable share, with its sales reaching $28.14M, representing 0.05% of the overall sales amount. This data provides a comprehensive view of the market dynamics in El Salvador, highlighting which platforms are driving the most sales.

This chart provides a detailed overview of the number of El Salvador online retailers by Monthly Visitors. Most El Salvador stores' Monthly Visitors are Less than 100, there are 700 stores, which is 59.22% of total. In second place, 274 stores' Monthly Visitors are 100 to 1K, which is 23.18% of total. Meanwhile, 161 stores' Monthly Visitors are 1K to 10K, which is 13.62% of total. This breakdown reveals insights into El Salvador stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

La API de Información de Tráfico Relacionada con la Seguridad (SRTI) de TomTom es un servicio web que proporciona datos brutos anonimizados y no personales sobre situaciones peligrosas recopiladas directamente por las propias aplicaciones de TomTom. El contenido de la API incluye datos anonimizados y no personales obtenidos de la multitud de conductores que utilizan la aplicación AmiGO de TomTom y que informan sobre incidentes de "peligro" y "vehículo averiado" en la carretera. De acuerdo con el Reglamento de la UE 886/2013, estos datos están disponibles para otros usuarios y pueden integrarse en otras aplicaciones para mejorar las condiciones de seguridad vial. El acceso y uso de estos datos están especificados en nuestros términos y condiciones. El servicio proporciona mensajes de seguridad para el área de la Unión Europea en forma de un servicio web RESTful. El contenido contiene información basada en retroalimentación de sensores o de usuarios finales.

In El Salvador, the distribution of stores across different platforms presents a dynamic picture of the market. WooCommerce, as a leading platform, hosts 1.36K stores, accounting for 56.18% of the total store count in the region. This is closely followed by Shopify, which supports 479 stores, representing 19.86% of the region's total. Custom Cart makes a significant contribution with 197 stores, or 8.17% of the total. The chart underscores the diversity and preferences of store owners in El Salvador regarding their choice of platform.

This chart offers an insightful look at the store count by category in El Salvador. Leading the way is Apparel, with 52 stores, which is 17.39% of the total stores in the region. Next is Beauty & Fitness, contributing 30 stores, or 10.03% of the region's total. Home & Garden also has a notable presence, with 30 stores, making up 10.03% of the store count in El Salvador. This breakdown provides a clear picture of the diverse retail landscape in El Salvador, showcasing the variety and scale of stores across different categories.

MATLAB data file for plotting graphs for Figures 5, 6 and 7a

The pie chart showcases the distribution of app/software spending by store category in El Salvador, providing insights into how eCommerce stores allocate their resources on the app or software they utilize. Among the store categories, Home & Garden exhibits the highest spending, with a total expenditure of $20.80K units representing 10.91% of the overall spending. Following closely behind is Beauty & Fitness with a spend of $17.79K units, comprising 9.33% of the total. Apparel also contributes significantly with a spend of $12.29K units, accounting for 6.45% of the overall app/software spending. This data sheds light on the investment patterns of eCommerce stores within each category, reflecting their priorities and resource allocation towards app or software solutions.

In El Salvador, the estimated sales amount across various store categories provides key insights into the market's dynamics. Mass Merchants & Department Stores, as a prominent category, generates significant sales, totaling $56.45B, which is 98.91% of the region's total sales in this sector. Autos & Vehicles follows with robust sales figures, achieving $19.75M in sales and comprising 0.03% of the region's total. Home & Garden contributes a considerable amount to the regional market, with sales of $1.10M, accounting for <0.01% of the total sales in El Salvador. This breakdown highlights the varying economic impacts of different categories within the region, showcasing the diversity and strengths of each sector.

Discover the latest eCommerce statistics in El Salvador for 2025, including store count by category and platform, estimated sales amount by platform and category, products sold by platform and category, and total app spend by platform and category. Gain valuable insights into the retail landscape in El Salvador, uncovering the distribution of stores across categories and platforms.

List of protein hits from TurboID

analyses script Lynne.R

Phyton coed for running RQA

bee and flower data

Alignments of misidentified conotoxin precursors clustered by the source of error. Abalde et al. 2020. Proceedings of the Royal Society B primary research article (10.1098/rspb.2020.0794).

Diversity data used to perform analyses

Kinematic data from bluegill sunfish volitional swimming. Gellman ED, Tandler TR, Ellerby DJ, Swimming from coast to coast: a novel fixed-gear swimming gait in fish, Biology Letters