Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 35 verified Popular locations in Mexico with complete contact information, ratings, reviews, and location data.
Facebook
TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Mexican administrative level 0 (country), 1 (estado), and 2 (municipio) boundary polygons
These administrative population statistics tables are suitable for database or GIS linkage to the Mexico - Subnational Population Statistics.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 63 verified La Popular locations in Mexico with complete contact information, ratings, reviews, and location data.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Important Notice:Under request of PlosONE and in order to contribute to transparency and replicability of research, the authors of the study entitled “Welfare effects of health insurance in Mexico: The Case of Seguro Popular de Salud”, made the data available. Any other use than exploring or replicating the results of the above-mentioned paper is not authorized and shall not be used without previous authorization of the investigators. If you are interested in analyzing this database for original research purposes please contact Sandra G. Sosa-Rubí (corresponding author srubi@insp.mx).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 5 verified Popular locations in Tamaulipas, Mexico with complete contact information, ratings, reviews, and location data.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Common-Stock Time Series for Industrias CH S. A. B. de C. V. Industrias CH, S. A. B. de C. V., through its subsidiaries, engages in the production and processing of steel in Mexico and North America. It provides commercial and structural steel products, rebars, steel wires and derivates, special bars, steel pipes and tubes, billets, and blooms. The company was founded in 1934 and is based in Tlalnepantla de Baz, Mexico.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Common-Stock-Shares-Outstanding Time Series for Grupo México S.A.B. de C.V. Grupo México, S.A.B. de C.V. engages in copper production, cargo transportation, and infrastructure businesses worldwide. It operates through Mining, Transportation, and Infrastructure divisions. The Mining division explores for copper, silver, molybdenum, zinc, sulfuric acid, gold, cadmium, selenium, and lime. It owns interests in 15 underground and open pit mines, and 14 exploration projects in Mexico, Peru, the United States, Argentina, Chile, Ecuador, and Spain. The Transportation division offers railroad transportation services, including general and intermodal freight services by railroad; passenger transportation services; and auxiliary terminal management and intra-terminal hauling services. This division provides railroad services for the agriculture, automotive, cement, energy, intermodal, metals and minerals, industrial products, and chemical and fertilizer sectors. It operates a railroad network. The Infrastructure division offers land and ocean drilling services; and engineering services. It also generates energy through a combined cycle plant and wind farm; and constructs, operates, and maintains Salamanca-León highway and Silao Bypas. Grupo México, S.A.B. de C.V. was founded in 1890 and is based in Mexico City, Mexico.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 27 verified Abarrotes La Popular locations in Mexico with complete contact information, ratings, reviews, and location data.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 77 verified Seguro Popular locations in Mexico with complete contact information, ratings, reviews, and location data.
Facebook
TwitterAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Comprehensive Airbnb dataset for Mexico City, Mexico providing detailed vacation rental analytics including property listings, pricing trends, host information, review sentiment analysis, and occupancy rates for short-term rental market intelligence and investment research.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Common-Stock Time Series for Value Grupo Financiero S.A.B. de C.V. Value Grupo Financiero, S.A.B. de C.V. provides various financial services. It provides brokerage, credit, operational and financial leasing, factoring, stock market intermediary, and other services. The company was formerly known as Grupo Financiero Fina Value SA de CV and changed its name to Value Grupo Financiero, S.A.B. de C.V. in May 2000. Value Grupo Financiero, S.A.B. de C.V. was incorporated in 1992 and is based in San Pedro Garza García, Mexico.
Facebook
TwitterComprehensive ranking dataset of the top 100 YouTube channels from Mexico. This dataset features 100 channels with detailed statistics including subscriber counts, total video views, video count, and global rankings. The leading channel has 70,700,000 subscribers and 23,120,343,826 total views. Each entry includes comprehensive metrics to analyze channel performance, growth trends, and competitive positioning. This dataset is regularly updated to reflect the latest YouTube channel statistics and ranking changes, providing valuable insights for content creators, marketers, and researchers analyzing YouTube ecosystem trends and channel performance benchmarks.
Facebook
TwitterCruz Azul is a Mexican soccer team based in Mexico City. It is one of the "big four": the most popular teams in Mexico. The objective of the study was to find out why they are fans of this particular team, and if fandom translates into attendance at the stadium. 1331 responses.
According to numerous studies, sports fandom start arises from the need for distraction, evasion, and entertainment. Being a fan of a particular team is part of the human need to belong to a social group or community. According to Sarsted (2014), satisfaction of the sports fan is based on the characteristics of the team, the stadium and its peripheral services (food, beverages, parking, sound, etc.), the relationship established between the club and fans, through social media or promotions, and the characteristics of the club (its prestige, tradition, its farm system, etc.).
Apparently, for Cruz Azul fans, going to the stadium meets the need for distraction and of feeling part of a community, but the tradition and history of the club are a more important part of that affiliation. For them, the current team and its performance are less important. On the other hand, the lowest score was obtained by the item The Azteca Stadium is ideal to watch the games. As the stadium and its peripheral services are an important component of fan satisfaction, this should raise a red flag for club administrators.
In Spanish.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 2 verified Abarrotes La Popular locations in Chihuahua, Mexico with complete contact information, ratings, reviews, and location data.
Facebook
TwitterAttribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Characterization of the diets of upper-trophic predators is a key ingredient in management including the development of ecosystem-based fishery management plans, conservation efforts for top predators, and ecological and economic modeling of predator prey interactions. The California Current Predator Diet Database (CCPDD) synthesizes data from published records of predator food habits over the past century. The database includes diet information for 100+ upper-trophic level predator species, based on over 200 published citations from the California Current region of the Pacific Ocean, ranging from Baja, Mexico to Vancouver Island, Canada. We include diet data for all predators that consume forage species: seabirds, cetaceans, pinnipeds, bony and cartilaginous fishes, and a predatory invertebrate; data represent seven discrete geographic regions within the CCS (Canada, WA, OR, CA-n, CA-c, CA-s, Mexico). The database is organized around predator-prey links that represent an occurrence of a predator eating a prey or group of prey items. Here we present synthesized data for the occurrence of 32 forage species (see Table 2 in the affiliated paper) in the diet of pelagic predators (currently submitted to Ecological Informatics). Future versions of the shared-data will include diet information for all prey items consumed, not just the forage species of interest.
Facebook
TwitterCommon bottlenose dolphin (Tursiops truncatus) photographic-identification surveys were conducted by the Texas A&M University at Galveston (TAMUG) Marine Mammal Behavioral Ecology Group, on the Texas coast and included Galveston Bay, West Bay, Matagorda Bay, Corpus Christi Bay, the lower Laguna Madre, and adjacent coastal waters from 1990 to 2001. Photos were initially collected using 35mm film cameras and converted into slides or developed into print photographs and archived in physical storage. The slide film and hardcopy images of individuals with distinct dorsal fin contours were later digitized and embedded with metadata. This dataset includes the digital photographs of dolphin groups, and individual dorsal fin images embedded with metadata including general geographic locations, dolphin mother-calf associations, calf identification, and dolphin group composition. This dataset also includes some tabular data that were recorded for the West Bay study area related to the digital photos.
Facebook
TwitterThe NOAA National Marine Fisheries Service Southeast Fisheries Science Center conducted a common bottlenose dolphin (Tursiops truncatus) photo-identification mark-recapture and biological sampling project in Choctawhatchee Bay, Florida from 24 July to 30 August in 2007. A model-averaged estimate of the superpopulation of bottlenose dolphins in and around Choctawhatchee Bay was 232 (SE = 13) animals. Estimated resident abundance was 179 (SE = 8), which was lower than the number of unique animals encountered (n=188). This data collection includes dorsal fin photographs and sighting histories for unique photo-identified individual dolphins, including information about spatial distribution, mark characteristics, biological samples obtained, and GIS data such as survey track and waypoint files.
Facebook
TwitterHabitat suitability for common dolphinfish is projected to experience modest declines throughout much of the wider Caribbean Sea and very strong declines in areas of currently high habitat suitability in the northern Gulf of Mexico (Figure 15). In both of these regions, declines in more southerly areas are expected to be associated with increases in habitat suitability in more northerly areas. In the Caribbean Sea, habitat suitability is expected to decline most strongly along the northern coastlines of South America while habitat suitability in the central Caribbean between Cuba, Mexico, and Haiti is expected to slightly increase as southerly populations move north. In the Gulf of Mexico, a similar pattern is observed where habitat suitability declines offshore but increases closer to the northern shore of the Gulf. These projections suggest that ongoing development of pelagic fisheries may be a more successful adaptation strategy for Jamaica and Haiti than for nations in the Lesser Antilles. Species-specific projected total habitat suitability index (HSI) and HSI's change or 'anomaly' under different carbon dioxide emission levels, including (A) total HSI for the 1970 to 2000 period; and changes in HSI under scenarios of (B) ~400 ppm and (C) ~565 ppm atmospheric carbon dioxide concentration in the high resolution Earth system model (GFDL CM2.6).
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Common-Stock-Shares-Outstanding Time Series for Alsea S.A.B. de C.V. Alsea, S.A.B. de C.V. operates restaurants in Latin America and Europe. It operates fast food, coffee shops, casual food, and family restaurants under the Domino's Pizza, Starbucks, Burger King, Chili's, PF Chang's, Italianni's, The Cheesecake Factory, Vips, Foster's Hollywood, Archies, Ginos, Vips, Ole Mole, and Clay Hear brands. The company was incorporated in 1997 and is headquartered in Mexico City, Mexico.
Facebook
TwitterOriginal provider: Arturo Serrano
Dataset credits: Arturo Serrano, Laboratorio de Mamiferos Marinos, Universidad Veracruzana
Abstract: The distribution and abundance of marine mammals along the United States coast of the Gulf of Mexico are well-documented, but similar studies for the Mexican coast of the Gulf of Mexico are lacking. Furthermore, these animals are important indicators of the marine ecosystem health, and scientific research is needed to develop appropriate conservation strategies. Thus, the objective of this study was to determine the diversity, distribution, and relative abundance of marine mammals in the northern coasts of Veracruz, Mexico.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Comprehensive dataset containing 35 verified Popular locations in Mexico with complete contact information, ratings, reviews, and location data.