This dataset contains monthly temperature records for all states in Mexico from January 1985 to February 2025. The data includes temperatures in both Celsius and Fahrenheit, with three key metrics:Minimum average temperature for the monthMaximum average temperature for the monthOverall mean temperature for the monthAdditionally, this project includes:A visualization script that generates temperature trend charts efficientlyA sample chart illustrating temperature evolution in Mexico CityA requirements.txt file specifying dependencies for the scriptThe temperature data was sourced from the Mexican National Meteorological Service (SMN): SMN - Monthly Temperature Summaries.This dataset is useful for climate analysis, trend studies, and data visualization projects related to temperature variations across Mexico.

A data set of observed daily and monthly averaged precipitation, maximum and minimum temperature, gridded to a 1/16° (~6km) resolution that spans the entire country of Mexico, the conterminous U.S. (CONUS), and regions of Canada south of 53° N for the period 1950-2013. The dataset improves previous products in spatial extent, orographic precipitation adjustment over Mexico and parts of Canada, and reduction of transboundary discontinuities. The precipitation is adjusted for orographic effects using an elevation-aware 1981-2010 precipitation climatology. Because of the consistent gridding methodology, the current product reduces transboundary discontinuities making it suitable for estimating large-scale hydrometeorologic phenomena. Also included are daily wind data from the National Centers for Environmental Prediction - National Centers for Atmospheric Research (NCEP - NCAR) resampled to the same grid as temperature and precipitation.

Original provider: Eduardo Cuevas

Dataset credits: Data provider Grupo de trabajo para la tortuga carey (Mexico) Originating data center Satellite Tracking and Analysis Tool (STAT) Project partner This study represents a collaboration between the Instituto de Ciencias del Mar y Limnologia (UNAM), ProNatura Peninsula de Yucatan, Comision Nacional de Areas Naturales Protegidas (SEMARNAT), Laguna de Terminos- Area de Proteccion de Flora y Fauna, Chelonia Inc (Puerto Rico), and NOAA. Project sponsor or sponsor description This project (CAMP-2005-C01-046) is financed jointly by the Campeche State Government and the Mexican National Science and Technology Council (CONACYT). Further support from NOAA, which we thankfully acknowledge, has permitted us to extend the scope of the initial project.

Abstract: The hawksbill population that nests in the Yucatan Peninsula (Mexico) is considered the largest in the Atlantic and one of the four largest in the world. However, from about 6,400 registered annual number of nests in 1999 (when the Mexican population represented about 43% of all recorded hawksbill nests in the Greater Caribbean), the population's reproductive output dropped to less than 2,400 nests/yr by 2004. No single cause has been demonstrated but as major nesting sites are under protection this alarming decline (a drop of 63% in 5 years) is suspected to be associated with threats impacting the species at foraging grounds or migratory routes. Unfortunately not only has there been no capacity to study and protect these habitats but, with the exception of studies by Byles and Swimmer (1994) and Garduño et al. (2003), there is also insufficient information on the routes taken and foraging destinations for the various rookeries in the region. To address these issues, the current satellite tracking project was instrumented to reveal the post-nesting migratory behavior of hawksbills in the Yucatan Peninsula, starting in 2006 with animals nesting in Campeche State, where about 50% of the reproductive output by the species in the whole Peninsula is concentrated.

Knowledge on the migratory routes and foraging sites will be helpful in identifying and mitigating potential threats in the marine habitats and for the establishment of research programs on the status of the habitats themselves. Furthermore, discovering whether or not these lie within or outside Mexican territorial waters has important consequences for the management strategies. If they are inside, the responsibility for addressing the hawksbills' conservation needs is totally Mexico's. If, on the other hand, some or all of the turtles cross into international waters or into other countries' jurisdictions it would indicate an internationally shared responsibility.

Future studies by the group will be directed towards tracking hawksbills nesting in the two other sates using similar techniques and learning from the lessons obtained from this season's experience.

Literature cited
Byles, R. A. and Swimmer, Y. B. 1994. Post-nesting migration of Eretmocheyls imbricata in the Yucatán Península. In: K. A. Bjorndal, A. B. Bolten, D. A. Johnson and P. J. Eliazar (compilers). 1994. Proc. Fourteenth Ann. Symp. Sea Turtle Biol. and Cons. NMFS-SEFSC-351. p. 202.

Garduño-Andrade, M., Schroeder, B. Balazs, G. and Lope, R. 2003. Migration and dive behavior of female hawksbills (Eretmochelys imbricata) in the Yucatan Peninsula. In: Seminoff, J. A. Compiler, Proceedings of the Twenty-Second Annual Symposium on Sea Turtle Biology and Conservation. NOAA Technical Memorandum NMFS-SEFSC-503, p. 285

Inflation Rate in Mexico decreased to 4.32 percent in June from 4.42 percent in May of 2025. This dataset provides - Mexico Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

AbstractClimate change, mismanaged resource extraction, and pollution are reshaping global marine ecosystems with direct consequences on human societies. Sustainable ocean development requires knowledge and data across disciplines, scales and knowledge types. Although several disciplines are generating large amounts of data on marine socio-ecological systems, such information is often underutilized due to fragmentation across institutions or stakeholders, limited standardization across scale, time or disciplines, and the fact that information is often not searchable within existing databases. Compiling metadata, the information which describes existing sets of data, is an effective tool that can address these challenges, particularly when metadata corresponding to multiple datasets can be combined to integrate, organize and classify multidisciplinary data. Here, using Mexico as a case study, we describe the compilation and analysis of a metadatabase of ocean knowledge that aims to improve access to information, facilitate multidisciplinary data sharing and integration, and foster collaboration among stakeholders. We also evaluate the knowledge trends and gaps for informing ocean management. Analysis of the metadatabase highlights that past and current research in Mexico focuses strongly on ecology and fisheries, with biological data more consistent over time and space compared to data on human dimensions. Regional imbalances in available information were also evident, with most available information corresponding to the Gulf of California, Campeche Bank and Caribbean and less available for the central and south Pacific and the western Gulf of Mexico. Despite existing knowledge gaps in Mexico and elsewhere, we argue that systematic efforts such as this can often reveal an abundance of information for decision-makers to develop policies that meet key commitments on ocean sustainability. Surmounting current cross-scale social and ecological challenges for sustainability requires transdisciplinary approaches. Metadatabases are critical tools to make efficient use of existing data, highlight and address strengths and deficiencies, and develop scenarios to inform policies for managing complex marine social-ecological systems. Usage notesMexico Marine Research Metadata DatabaseThis project compiled metadata on available datasets produced by marine research in Mexico. The data is categorized by region, theme, species (when applicable), and research fields. This dataset corresponds to the associated peer-reviewed paper, the living database can be accessed at http://infoceanos.conabio.gob.mx.Mexico Metadata Database DataDryad.csv

This data set shows several different types of protected areas in Mexico. National protected areas are managed by CONANP, while state and municipal protected areas are managed by state and municipal agencies. Voluntary conservation areas are lands that private property owners have voluntarily certified as protected for a minimum of 15 years.

This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Coastal Services Center's Sea Level Rise and Coastal Flooding Impacts Viewer (www.csc.noaa.gov/slr/viewer). The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. Because the WFO boundaries can cover large areas, the WFO DEM was divided into smaller DEMs to ensure more manageable file sizes. This metadata record describes the DEM for the Okaloosa (southern coastal portion only), Walton, Bay, Gulf, Franklin (western portion only), and Wakulla (western portion only) Counties. The DEM includes the best available lidar data known to exist at the time of DEM creation for the coastal areas of Okaloosa (southern coastal portion only), Walton, Bay, Gulf, Franklin (western portion only), and Wakulla (western portion only) counties, that met project specification. This DEM is derived from LiDAR collected for the Northwest Florida Water Management District (NWFWMD) and the Florida Department of Emergency Management (FDEM). Hydrographic breaklines used in the creation of the DEM were obtained from FDEM and Southwest Florida Water Management District (SWFWMD). This DEM is hydro flattened such that water elevations are less than or equal to 0 meters.This DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 5 meters.The NOAA Coastal Services Center has developed high-resolution digital elevation models (DEMs) for use in the Center's Sea Level Rise And Coastal Flooding Impacts internet mapping application. These DEMs serve as source datasets used to derive data to visualize the impacts of inundation resulting from sea level rise along the coastal United States and its territories.The dataset is provided "as is," without warranty to its performance, merchantable state, or fitness for any particular purpose. The entire risk associated with the results and performance of this dataset is assumed by the user. This dataset should be used strictly as a planning reference and not for navigation, permitting, or other legal purposes.

Do file and dataset for dominance analysis on US age at death distributions (data sourced from CDC life tables).

Abstract: Diverging mortality trends at different ages motivate the monitoring of lifespan inequality alongside life expectancy. Conclusions are ambiguous when life expectancy and lifespan inequality move in the same direction or when inequality measures display inconsistent trends. We propose using non-parametric dominance analysis to obtain a robust ranking of age-at-death distributions. Application to United States period life tables for 2006-2021 reveals that, until 2014, more recent years generally dominate earlier years implying improvement if longer lifespans that are less unequally distributed are considered better. Improvements were more pronounced for non-Hispanic Blacks and Hispanics than for non-Hispanic Whites. Since 2014, for all subpopulations—particularly, Hispanics—earlier years often dominate more recent years indicating worsening age-at-death distributions if shorter and more unequal lifespans are considered worse. Dramatic deterioration of the distributions in 2020-21 during the COVID-19 pandemic is most evident for Hispanics.

This U.S. Geological Survey data release provides data on spatial variations in climatological wave parameters (significant wave height, peak wave period, and wave power) for coastal areas along the United States East Coast and Gulf of Mexico. Significant wave height is the average wave height, from crest to trough, of the highest one-third of the waves in a specific time period. Peak wave period is the wave period associated with the most energetic waves in the wave spectrum in a specific time period. Wave power is the energy per unit length generated by the movement of ocean waves. Climatological wave conditions provide the average forcing that can lead to changes in the coastal environment. For the generation of this dataset, we use model simulations. Waves under different climatological wind forcing conditions averaged from the European Centre for Medium Range Weather Forecast (ECMWF) Re-Analysis (ERA-5) were simulated using the coupled ADCIRC/SWAN model system. Coastal areas are resolved with horizontal resolutions on the order of hundreds of meters. The ADCIRC/SWAN simulations provide steady-state wave conditions under constant wind at each computational point of an unstructured grid that covers the entire area of interest—from the open ocean to overland areas up to approximately 15 meters above the North American Vertical Datum of 1988. The simulations provide wave height and period and are also used to calculate wave power. We consider the frequency of occurrence of each wind magnitude and direction bin for each location to reconstruct weighted-average wave conditions. The resulting wave parameters are provided at all points of the computational grid less than 10 meter elevation and shallower than -30 meter bottom depth (North American Vertical Datum of 1988). Grid points above 10 meters and deeper than 30 meters are given a fill value.

United States Exports to Mexico was US$334.04 Billion during 2024, according to the United Nations COMTRADE database on international trade. United States Exports to Mexico - data, historical chart and statistics - was last updated on July of 2025.

Human alteration of waterways has impacted the minimum and maximum streamflow in more than 86% of monitored streams nationally and may be the primary cause for ecological impairment in river and stream ecosystems. Restoration of freshwater inflows can positively affect shellfish, fisheries, habitat, and water quality in streams, rivers, and estuaries. Increasingly, state and local decision makers and Federal agencies are turning their attention to the restoration of flows as part of a holistic approach to restoring water quality and habitat and protecting and replenishing living coastal and marine resources and the livelihoods that depend on them. In 2017, the U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center began developing datasets, methods, and tools to support a two-phase, seven-year study of freshwater delivery and magnitude in the five Gulf States (Alabama, Florida, Louisiana, Mississippi, and Texas). This study is in collaboration with the U.S. Environmental Protection Agency and funded through the Resouces and Ecosystems, Sustainability, Tourist, Opportunities, and Revived Economies of the Gulf Coast States Act (RESTORE Act). The first phase of this study is focused on (1) quantification of hydrologic alteration, (2) evaluation of trends in the delivery and magnitude of freshwater to estuaries, and (3) analysis of the current streamgage network suitability for the five Gulf States. The second phase focuses on a large watershed in Mississippi and will address (1) evaluation and identification of flow-ecology relationships and (2) development of a decision-support tool that integrates existing streamflow goals and constraints as well as determined flow-ecology relationships. This dataset represents a boundary delineating the spatial extent of the study. USGS streamgages located within the boundary either drain to the Gulf of Mexico or are adjacent to watersheds that flow to the Gulf of Mexico and are considered both physiographically similar and valuable for analysis. The boundary extent was delineated using geographic information system (GIS) tools to represent the geographic extent of the area important in analyzing streamflow alteration. The area within the boundary is 1,004,220 square kilometers and contains 9,966 12-digit hydrologic unit code (HUC) polygons and 294 8-digit HUC polygons.