25 datasets found
  1. a

    Regional Volcanoes Mesoamerica

    • hub.arcgis.com
    • spatialdiscovery-ucsb.opendata.arcgis.com
    • +2more
    Updated Feb 19, 2019
    + more versions
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    University of California, Santa Barbara (2019). Regional Volcanoes Mesoamerica [Dataset]. https://hub.arcgis.com/maps/ucsb::regional-volcanoes-mesoamerica
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    Dataset updated
    Feb 19, 2019
    Dataset authored and provided by
    University of California, Santa Barbara
    Area covered
    Description

    Compilation of Mexico and Guatemala volcano locations from the Smithsonian website and other sources.Coordinates and information on all volcanoes in Guatemala and Mexico were copied from the Smithsonian volcano website and entered into a database. The coordinates were added to a map using x,y coordinates and the data was exported to a shapefile. This information is to be used for Meso American research. Research for Meso American volcanoes on the internet and papers provided locations of other volcanoes that were added by proximity to other known volcanoes and/or georectifying figures provided. Locations of volcanoes from the CONAP GIS were added to this file.

  2. a

    Capas Geográficas Proyecto Agua Salud

    • stridata-si.opendata.arcgis.com
    Updated Aug 28, 2017
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    Smithsonian Institution (2017). Capas Geográficas Proyecto Agua Salud [Dataset]. https://stridata-si.opendata.arcgis.com/maps/eb0524a1270c442084ae8b67baba6d42
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    Dataset updated
    Aug 28, 2017
    Dataset authored and provided by
    Smithsonian Institution
    Area covered
    Description

    This Feature Layer contains all the layers (Transectos, Campamentos, Vertederos, Nacimiento Ríos, Tanques Agua, Ríos, Equipos Hidrológicos, cortafuegos, uso de suelos, etc.) used by the Agua Salud Project. This project utilizes the Panama Canal’s central role in world commerce to focus global attention on the ecosystem services provided by tropical forest. Agua Salud’s experimental plots include native tree plantations, silvopastoral and shade coffee systems, invasive grasslands, subsistence farms and forest regrowth ranging from a few years to many decades in age. Figuring out the hydrology of the basin — essentially accounting for every last drop of water that passes through it — is a primary goal of the project. Reforestation with native species, carbon sequestration, biodiversity restoration and disease ecology are also part of one of STRI’s fastest-growing research platforms. The research aims to inform policymaking decisions that have implications for billions of people throughout the tropics. The project’s large-scale reforestation and mixed-use experiments attract researchers interested in facets of landscape regeneration ranging from economics to the restoration of biodiversity. For more information, please visit de Agua Salud website.

  3. a

    Katrina +10: A Decade of Change in New Orleans

    • geoglows.amerigeoss.org
    • amerigeo.org
    • +1more
    Updated Jul 24, 2015
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    ArcGIS StoryMaps (2015). Katrina +10: A Decade of Change in New Orleans [Dataset]. https://geoglows.amerigeoss.org/datasets/Story::katrina-10-a-decade-of-change-in-new-orleans-
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    Dataset updated
    Jul 24, 2015
    Dataset authored and provided by
    ArcGIS StoryMaps
    Area covered
    New Orleans
    Description

    Hurricane Katrina of August, 2005, is remembered as one of the most destructive and influential storms in United States history. The densely populated city of New Orleans, one of many areas around the Gulf Coast to face catastrophic damage, endured extreme flooding and physical destruction when several levees and other flood prevention features guarding the city broke down. Many evacuated the city and fled to far corners of the country, and a large portion of these evacuees were unable to resettle in New Orleans after the storm. Dealing with the aftermath of Hurricane Katrina involved many immense challenges, but ten years later, one can see the effects of a decade of hard work in restoring this historic city. This series of maps tracks New Orleans through these ten years of change. The story map uses the Esri Story Map Series app, The story was produced by Esri in collaboration with the Smithsonian Institution. The story can also be found on the Smithsonian Website. Data for each map was taken from the following sources:Katrina Diaspora: 2006 American Community Survey 1-year Estimates, State-to-State Migration Flows, NHC, NOAA, NWS. Flooding: Terrestrial lidar datasets of New Orleans levee failures from Hurricane Katrina, August 29, 2005: U.S. Geological Survey Data Series, NASA Earth Observatory, NOAA National Geodetic Survey. Physical Damage: FEMA dataset collection following Hurricane Katrina and transferred to CNO/SHPOPopulation Shift: The Data Center analysis of data from U.S. Census 2000 Summary File 1 (SF1) and U.S. Census 2010 Summary File 1 (SF1)Steady Restoration: The Data Center analysis of Valassis Residential and Business Database Neighborhood Reference Map: City of New Orleans GIS Department For more information on Esri Story Map apps, visit storymaps.arcgis.com.

  4. d

    Data on environmental characteristics and plant abundances associated with...

    • search.dataone.org
    • smithsonian.figshare.com
    Updated Apr 17, 2025
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    Jens-Christian Svenning; David A. Kinner; Robert F. Stallard; Bettina Engelbrecht; S. Joseph Wright (2025). Data on environmental characteristics and plant abundances associated with trail segments on Barro Colorado Island, Panama, for 2000-2001 [Dataset]. https://search.dataone.org/view/urn%3Auuid%3Add3076b7-a1d9-4cb5-9eed-78cf30103705
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    Dataset updated
    Apr 17, 2025
    Dataset provided by
    Smithsonian Research Data Repository
    Authors
    Jens-Christian Svenning; David A. Kinner; Robert F. Stallard; Bettina Engelbrecht; S. Joseph Wright
    Time period covered
    Jul 1, 2000 - Apr 3, 2001
    Area covered
    Description

    This is a dataset on the abundances of particular plant taxa and on environmental conditions on trail segments on Barro Colorado Island, Panama. These data are associated with the following journal publication: Svenning, J.-C., D. A. Kinner, R. F. Stallard, B. M. J. Engelbrecht, and S. J. Wright. 2004. Ecological determinism in plant community structure across a tropical forest landscape. Ecology 85: 2526-2538. https://doi.org/10.1890/03-0396 Additional online supplemental material for the article is available at the following link: https://figshare.com/collections/ECOLOGICAL_DETERMINISM_IN_PLANT_COMMUNITY_STRUCTURE_ACROSS_A_TROPICAL_FOREST_LANDSCAPE/3298217 Acknowledgments We thank Sebastian Bernal for doing most of the woody plant inventory, Maria del Carmen Ruiz and David Galvéz for soil sampling and processing, and Andrés Hernandez, Osvaldo Calderón, Rolando Pérez, and Salomon Aguilar for taxonomic help. We acknowledge economic support from The Carlsberg Foundation (grants 990086/20 and 990576/20 to J.-C. Svenning), The Danish Natural Science Research Council (grants 9901835, 51-00-0138, and 21-01-0415 to J.-C. Svenning), the Andrew W. Mellon Foundation (to S. J. Wright and B. M. J. Engelbrecht), the U.S. Geological Survey WEBB Project, and the Smithsonian Terrestrial Environmental Sciences Program. All GIS analyses were completed at the Environmental Imaging and Computation Facility at the University of Colorado. References As of the date of this data publication (2024), these data have been used for the following publications: Svenning, J.-C., D. A. Kinner, R. F. Stallard, B. M. J. Engelbrecht, and S. J. Wright. 2004. Ecological determinism in plant community structure across a tropical forest landscape. Ecology 85: 2526-2538. https://doi.org/10.1890/03-0396 Svenning, J.-C., B. M. J. Engelbrecht, D. A. Kinner, T. A. Kursar, R. F. Stallard, and S. J. Wright. 2006. The relative roles of environment, history and local dispersal in controlling the distributions of common tree and shrub species in a tropical forest landscape, Panama. Journal Of Tropical Ecology 22: 575-586. https://doi.org/10.1017/s0266467406003348 Muller-Landau, H. C., and J.-C. Svenning. 2024. An Introduction to Landscape-Level Variation Across the Barro Colorado Nature Monument. Chapter 2 in The First 100 Years of Research on Barro Colorado: Plant and Ecosystem Science, ed. H. C. Muller-Landau and S. J. Wright. Smithsonian Institution Scholarly Press. R code for reproducing the analyses in Muller-Landau and Svenning 2024 is published at Muller-Landau, H.C. and J.-C. Svenning. 2024. Chapter 02 - An Introduction to Landscape-level variation across the Barro Colorado Nature Monument - Appendix S1 - R code and data files to construct Figure 2.Smithsonian Figshare. https://doi.org/10.25573/data.22779260

  5. a

    Twister Dashboard: Exploring Three Decades of Violent Storms

    • amerigeo.org
    • data.amerigeoss.org
    • +2more
    Updated Mar 25, 2014
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    ArcGIS StoryMaps (2014). Twister Dashboard: Exploring Three Decades of Violent Storms [Dataset]. https://www.amerigeo.org/datasets/Story::twister-dashboard-exploring-three-decades-of-violent-storms
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    Dataset updated
    Mar 25, 2014
    Dataset authored and provided by
    ArcGIS StoryMaps
    Description

    Although tornadoes can occur throughout the year, prime time for twisters in the U.S. is spring and early summer. Larger symbols show more violent tornadoes. Zoom into the map to see approximate tornado tracks.This custom story map design was produced by Esri's story maps team for Smithsonian. It was published by Smithsonian on March 24, 2014. For more information on story maps, visit storymaps.arcgis.com. This story doesn't use one of the Story Map app templates.Data is from the National Oceanic and Atmospheric Administration.

  6. a

    Big Holes

    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    Updated Jul 11, 2014
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    ArcGIS StoryMaps (2014). Big Holes [Dataset]. https://gis-for-secondary-schools-schools-be.hub.arcgis.com/items/4533fec4fbb148f289bf81f9cc8adbd6
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    Dataset updated
    Jul 11, 2014
    Dataset authored and provided by
    ArcGIS StoryMaps
    Description

    Earth's 7 billion human inhabitants have a nearly insatiable appetite for natural resources, including minerals mined from the planet's crust. But the consumption of mineral resources comes with costs, among them the creation of scars and pock-marks on the face of the Earth. Take a guided tour of some of the world's largest and most prominent surface mines. This story was produced for Smithsonian by Esri's Story Maps team using the new Story Map Journal app. It appears on this Smithsonian website page: http://www.smithsonian.com/science-nature/peering-some-worlds-largest-mines-1-180952010/For more information visit storymaps.arcgis.com.

  7. a

    We are Living inThe Age of Humans

    • gis-for-secondary-schools-schools-be.hub.arcgis.com
    • fesec-cesj.opendata.arcgis.com
    • +5more
    Updated Sep 8, 2014
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    ArcGIS StoryMaps (2014). We are Living inThe Age of Humans [Dataset]. https://gis-for-secondary-schools-schools-be.hub.arcgis.com/datasets/Story::we-are-living-inthe-age-of-humans
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    Dataset updated
    Sep 8, 2014
    Dataset authored and provided by
    ArcGIS StoryMaps
    Description

    This story map presents a series of maps showing humankind's profound effects on Earth's natural systems, and spotlights a selection of efforts by U.S. cities to improve sustainability. The story map uses the Esri Story Map Journal app, and was produced by Esri in collaboration with the Smithsonian Institution. The story also appears on the Smithsonian website. "The Age of Humans" includes data from several organizations, including Wildlife Conservation Society (human footprint), University of Minnesota Center on the Environment (agriculture) World Resources Institute (forests), Conservation International (biodiversity hot spots), and IUCN (protected areas). For more information on Esri Story Map apps, visit storymaps.arcgis.com.

  8. a

    ForestGeo World Plot Locations

    • stridata-si.opendata.arcgis.com
    Updated Jan 17, 2018
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    Smithsonian Institution (2018). ForestGeo World Plot Locations [Dataset]. https://stridata-si.opendata.arcgis.com/datasets/8827b2466ecb4bd7b1d09f5ccf8bb626
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    Dataset updated
    Jan 17, 2018
    Dataset authored and provided by
    Smithsonian Institution
    Area covered
    Description

    The Forest Global Earth Observatory (ForestGEO) is a global network of scientists and forest research sites dedicated to advancing long-term study of the world's forests. The network recognizes the importance of collaborating with local institutions to strengthen science capacity in an era of rapidly changing landscapes and climate to understand and predict forest dynamics.Each ForestGEO site is typically between 25 and 50 hectares. In each site, all free-standing trees with a trunk diameter (at breast height) of at least 1 cm are tagged, measured, and identified to species.For more information, please visit ForestGeo website

  9. a

    Punta Galeta Marine Laboratory

    • stridata-si.opendata.arcgis.com
    • pmp-si.hub.arcgis.com
    Updated Feb 16, 2021
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    Smithsonian Institution (2021). Punta Galeta Marine Laboratory [Dataset]. https://stridata-si.opendata.arcgis.com/maps/b1567f8631944fa8ba9c4f42bf5bbc9d
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    Dataset updated
    Feb 16, 2021
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Surrounded by mangrove forests, seagrass meadows and coral reefs, Galeta became STRI’s first Caribbean marine lab in 1964. The protected island near the entrance of the Panama Canal was the site of an extensive study of a marine oil spill. Today, the station is especially well-situated for the investigation of urban and industrial encroachment on coastal ecosystems in the tropics. The station is an important outreach facility for Colón, Panama’s second-largest city.More information on Galeta Website: Punta Galeta Marine Laboratory

  10. a

    MET Stations in Panama Application v.2022

    • stridata-si.opendata.arcgis.com
    • stridrone-si.hub.arcgis.com
    Updated Apr 13, 2022
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    Smithsonian Institution (2022). MET Stations in Panama Application v.2022 [Dataset]. https://stridata-si.opendata.arcgis.com/datasets/SI::met-stations-in-panama-application-v-2022
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    Dataset updated
    Apr 13, 2022
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Panama
    Description

    MET Stations in Panama v.2022This application allows you to find Meteorological Stations (MET) in the Republic of Panama. The MET's are divided by those administered by ETESA (Empresa de Transmisión Eléctrica, S.A.), ACP (Autoridad del Canal de Panamá) y STRI (Smithsonian Tropical Research Institute). The application allows you to perform multiple practical functions with the map, among which we can mention: Measure distances and areas in many units Draw objects or annotations on the map for reference Convert geographic locations between multiple formats Select, view and download River and stream data Add your own local data (KML files) or from ArcGIS Online Change main basemap Many more functions...The GIS Lab tried to include all the MET Stations available, but we can't assure all of them are available, or even some of the MET stations name are correct. The content is provided on an “AS IS” and “AS AVAILABLE” basis without warranty of any kind, either express or implied, including but not limited to the implied warranties of use, copyright ownership and/or non-infringement or other third-party proprietary rights. See our Terms of Use.If you have suggestions for improvement or found any bugs in the app, please let us know via the Administrator email.

  11. a

    Agua Salud Project Map - STRI Project

    • stridata-si.opendata.arcgis.com
    • pmp-si.hub.arcgis.com
    Updated Dec 29, 2020
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    Smithsonian Institution (2020). Agua Salud Project Map - STRI Project [Dataset]. https://stridata-si.opendata.arcgis.com/maps/70264d7e320a4a6f91c55399b962234b
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    Dataset updated
    Dec 29, 2020
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    This map contains all the layers used by the Agua Salud Project. This project utilizes the Panama Canal’s central role in world commerce to focus global attention on the ecosystem services provided by tropical forest.Agua Salud’s experimental plots include native tree plantations, silvopastoral and shade coffee systems, invasive grasslands, subsistence farms and forest regrowth ranging from a few years to many decades in age. Figuring out the hydrology of the basin — essentially accounting for every last drop of water that passes through it — is a primary goal of the project. Reforestation with native species, carbon sequestration, biodiversity restoration and disease ecology are also part of one of STRI’s fastest-growing research platforms. The research aims to inform policymaking decisions that have implications for billions of people throughout the tropics. The project’s large-scale reforestation and mixed-use experiments attract researchers interested in facets of landscape regeneration ranging from economics to the restoration of biodiversity. For more information, please visit de Agua Salud website.

  12. a

    Fortuna Station Map

    • stridata-si.opendata.arcgis.com
    • pmp-si.hub.arcgis.com
    Updated Dec 6, 2020
    + more versions
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    Smithsonian Institution (2020). Fortuna Station Map [Dataset]. https://stridata-si.opendata.arcgis.com/maps/SI::fortuna-station-map/about
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    Dataset updated
    Dec 6, 2020
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Area covered
    Description

    Fortuna’s field station is locally known as the Green House, or Vivero, in Spanish. The station keeps it simple but still has cozy facilities that meet basic needs for successful field studies and courses. There are simple accommodations, a 4x4, Internet, greenhouse and some basic equipment for processing samples.The Fortuna station is located in Western Panama’s province of Chiriquí, near the border with Costa Rica. The quickest way to get there from Panama City is via a flight to Davíd, which is 70 km south of the Fortuna station by road.More information on Fortuna's website.

  13. a

    Agua Salud River Basin View

    • stridata-si.opendata.arcgis.com
    Updated May 28, 2021
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    Smithsonian Institution (2021). Agua Salud River Basin View [Dataset]. https://stridata-si.opendata.arcgis.com/datasets/agua-salud-river-basin-view
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    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Feature View Layer containing the Agua Salud River Basin, part of the Agua Salud Project. For more information about this project, please go to the Official Agua Salud website.

  14. a

    Agua Salud Land Use View

    • stridata-si.opendata.arcgis.com
    Updated May 28, 2021
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    Smithsonian Institution (2021). Agua Salud Land Use View [Dataset]. https://stridata-si.opendata.arcgis.com/datasets/agua-salud-land-use-view
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    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Feature layer view that contains the proposed Land Use categories used on the Agua Salud Project. For more information about this project, view the Official Agua Salud website.

  15. a

    Comprehensive Panama Protected Areas 2024 Webmap

    • stridata-si.opendata.arcgis.com
    Updated May 29, 2019
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    Smithsonian Institution (2019). Comprehensive Panama Protected Areas 2024 Webmap [Dataset]. https://stridata-si.opendata.arcgis.com/maps/b42381c4db634c538a0f86ecca4913c6
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    Dataset updated
    May 29, 2019
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Español: Este mapa muestra la definición de las áreas protegidas publicadas por ANAM (Autoridad Nacional del Ambiente) en el año 2006. Las áreas protegidas fueron digitalizadas del mapa general de áreas protegidas disponibles en ANAM. Para mayor información, puede visitar el sitio web de ANAM. Ayudar en los estudios científicos que necesitan conocer la delimitación de las áreas protegidas oficiales.Para descargar esta capa en formato shapefile, utilice el enlace abajo:English:This webmap presents the boundaries of Panama's Protected Areas, originally defined by the National Environmental Authority (ANAM) in 2006 and subsequently managed by MiAmbiente. These protected area boundaries were digitized from ANAM's general map and serve as a valuable resource for scientific research requiring precise geographic data. For further details, please visit the MiAmbiente website.To download the protected areas as a shapefile, click the following link:Áreas Protegidas Panamá

  16. a

    Barro Colorado Island Buildings

    • stridata-si.opendata.arcgis.com
    Updated May 20, 2021
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    Smithsonian Institution (2021). Barro Colorado Island Buildings [Dataset]. https://stridata-si.opendata.arcgis.com/maps/SI::barro-colorado-island-buildings
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    Dataset updated
    May 20, 2021
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer contains the buildings available on the island of clay. The buildings are for administrative and scientific use, as well as for support for research tasks.Visitors to BCI are served lunch (with vegetarian options) in the island’s dining hall, offering you the opportunity to enjoy a meal alongside BCI’s resident naturalists. For more information, please visit de official Barro Colorado Website.

  17. a

    Forest Cover and Land Use 2021 for Panama

    • stridata-si.opendata.arcgis.com
    Updated Apr 23, 2022
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    Smithsonian Institution (2022). Forest Cover and Land Use 2021 for Panama [Dataset]. https://stridata-si.opendata.arcgis.com/maps/e71f7c461f154537be585f69cb284341
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    Dataset updated
    Apr 23, 2022
    Dataset authored and provided by
    Smithsonian Institution
    Area covered
    Description

    English:Panama's Ministry of the Environment (MiAmbiente) has developed a comprehensive Forest Cover and Land Use map for 2021.Leveraging Sentinel-2A satellite imagery from the European Space Agency (ESA), this high-resolution dataset accurately identifies and quantifies various forest cover types. To ensure data reliability, SecureWatch and Planet platforms were employed for rigorous validation. This unprecedented resource, boasting a local scale of 1:25,000, is now accessible to the public.Download the Forest Cover Layer via the SINIA Open Data Website or this alternative link.Español: Capa de Cobertura Boscosa y Uso de la Tierra 2021, realizado por el Ministerio de Ambiente (MIAMBIENTE) de Panamá. Este mapa fue elaborado con imágenes del satélite Sentinel 2-A proveniente de la Agencia Espacial Europea (ESA) y para la verificación de los datos generados, se utilizaron las plataformas SecureWatch y Planet con alta resolución espacial y temporal respectivamente, lo cual permite identificar y cuantificar los diferentes tipos la cobertura forestal. Y cuenta además, con una escala local 1:25,000, hecho sin precedentes para el sector ambiental.

    Para descargar los datos, por favor utilice el Servidor de Datos Abiertos del SINIA o utilice esta dirección alternativa.

  18. a

    STRI Weather Stations

    • pmp-si.hub.arcgis.com
    • stridata-si.opendata.arcgis.com
    Updated Feb 22, 2018
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    Smithsonian Institution (2018). STRI Weather Stations [Dataset]. https://pmp-si.hub.arcgis.com/datasets/stri-weather-stations
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    Dataset updated
    Feb 22, 2018
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The Physical Monitoring Program began in 1972 on Barro Colorado Island (BCI) and included a full suite of meteorological and hydrological parameters. Initially the program collected data on physical parameters at two sites on BCI: one located in a clearing near several laboratory buildings and referred to as the "Clearing" or "El Claro", and a second site located inside a small catchment area named after the trail that passes through it - Lutz. Since then, the program has grown and currently ecompases eight automated weather stations (AWS) and an array remote ocean temperature sensors deployed in the Caribean and Pacific coasts of Panama. Additionally, the program has continued to record hydrological parameters and the original suite of manual meteorology measurements at BCI.This site is continuosly being updated and data for additonal stations will be deployed as soon as it is fully compiled. Stations to be added to this website: Galeta, BCI-Lutz, BCI-Clearing, Sherman, San Jose, Culebra, Ocean Temperature Sensors.Data quality statement: The quality of the data is recorded on the Datum Status Level (ds) field of the data files. If this field is empty or if it contains an L (Legacy Data) it means that the data is raw data, i.e. it has not been checked for possible errors. For further details on data quality, please consult each station's .pdf document located in the Parameters section.

  19. a

    Agua Salud Transects View

    • stridata-si.opendata.arcgis.com
    Updated May 28, 2021
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    Smithsonian Institution (2021). Agua Salud Transects View [Dataset]. https://stridata-si.opendata.arcgis.com/datasets/agua-salud-transects-view
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    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Feature layer view containing the Transect locations within the Agua Salud Project. For more information about this project, view the Official Agua Salud website.

  20. a

    Agua Salud River Subcatchments View

    • stridata-si.opendata.arcgis.com
    Updated May 28, 2021
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    Smithsonian Institution (2021). Agua Salud River Subcatchments View [Dataset]. https://stridata-si.opendata.arcgis.com/datasets/35333566bd9441c2854af179d1774c04
    Explore at:
    Dataset updated
    May 28, 2021
    Dataset authored and provided by
    Smithsonian Institution
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Description

    Feature layer view that contains the derived Agua Salud river subcatments, part of the Agua Salud Project. For more information about this project, view the Official Agua Salud website.

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University of California, Santa Barbara (2019). Regional Volcanoes Mesoamerica [Dataset]. https://hub.arcgis.com/maps/ucsb::regional-volcanoes-mesoamerica

Regional Volcanoes Mesoamerica

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Dataset updated
Feb 19, 2019
Dataset authored and provided by
University of California, Santa Barbara
Area covered
Description

Compilation of Mexico and Guatemala volcano locations from the Smithsonian website and other sources.Coordinates and information on all volcanoes in Guatemala and Mexico were copied from the Smithsonian volcano website and entered into a database. The coordinates were added to a map using x,y coordinates and the data was exported to a shapefile. This information is to be used for Meso American research. Research for Meso American volcanoes on the internet and papers provided locations of other volcanoes that were added by proximity to other known volcanoes and/or georectifying figures provided. Locations of volcanoes from the CONAP GIS were added to this file.

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