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      The changing face of floodplains in the Mississippi River Basin detected by a 60-year land use change dataset

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          Abstract

          Floodplains provide essential ecosystem functions, yet >80% of European and North American floodplains are substantially modified. Despite floodplain changes over the past century, comprehensive, long-term land use change data within large river basin floodplains are limited. Long-term land use data can be used to quantify floodplain functions and provide spatially explicit information for management, restoration, and flood-risk mitigation. We present a comprehensive dataset quantifying floodplain land use change along the 3.3 million km 2 Mississippi River Basin (MRB) covering 60 years (1941–2000) at 250-m resolution. We developed four unique products as part of this work, a(n): (i) Google Earth Engine interactive map visualization interface, (ii) Python code that runs in any internet browser, (iii) online tutorial with visualizations facilitating classroom code application, and (iv) instructional video demonstrating code application and database reproduction. Our data show that MRB’s natural floodplain ecosystems have been substantially altered to agricultural and developed land uses. These products will support MRB resilience and sustainability goals by advancing data-driven decision making on floodplain restoration, buyout, and conservation scenarios.

          Abstract

          Measurement(s) land use process
          Technology Type(s) Geographic Information System
          Factor Type(s) floodplain land use change
          Sample Characteristic - Environment flood plain
          Sample Characteristic - Location Mississippi River Basin

          Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.14804514

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          Most cited references50

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          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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            Changes in the global value of ecosystem services

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              Riverine flood plains: present state and future trends

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                Author and article information

                Contributors
                adnan.rajib@tamuk.edu
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                15 October 2021
                15 October 2021
                2021
                : 8
                : 271
                Affiliations
                [1 ]GRID grid.264756.4, ISNI 0000 0004 4687 2082, Department of Environmental Engineering, , Texas A&M University, ; Kingsville, Texas USA
                [2 ]GRID grid.418698.a, ISNI 0000 0001 2146 2763, U.S. Environmental Protection Agency, , Office of Research and Development, ; Cincinnati, Ohio USA
                [3 ]GRID grid.411461.7, ISNI 0000 0001 2315 1184, Department of Geography, , University of Tennessee, ; Knoxville, Tennessee USA
                [4 ]GRID grid.418698.a, ISNI 0000 0001 2146 2763, U.S. Environmental Protection Agency, , Office of Research and Development, ; Athens, Georgia USA
                [5 ]GRID grid.47894.36, ISNI 0000 0004 1936 8083, Department of Civil and Environmental Engineering, , Colorado State University, ; Fort Collins, Colorado USA
                [6 ]GRID grid.449687.0, ISNI 0000 0001 2194 5159, Water Resources Research and Documentation Center, , University for Foreigners of Perugia, ; Perugia, Italy
                [7 ]GRID grid.65456.34, ISNI 0000 0001 2110 1845, Institute of Environment and College of Arts, Sciences & Education, , Florida International University, ; Miami, Florida USA
                Author information
                http://orcid.org/0000-0003-2302-1421
                http://orcid.org/0000-0002-9535-472X
                http://orcid.org/0000-0001-5501-9444
                http://orcid.org/0000-0001-5437-4073
                http://orcid.org/0000-0002-8612-1684
                http://orcid.org/0000-0002-6562-3159
                Article
                1048
                10.1038/s41597-021-01048-w
                8520011
                34654838
                89143435-e078-4277-8002-cda0cffda5f4
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.

                History
                : 25 February 2021
                : 31 August 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000005, U.S. Department of Defense (United States Department of Defense);
                Award ID: FAIN # W912HZ2020050
                Award ID: FAIN # W912HZ2020050
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: CBET-1916780
                Award ID: HRD-1547798
                Award Recipient :
                Categories
                Data Descriptor
                Custom metadata
                © The Author(s) 2021

                ecosystem services,hydrology,sustainability
                ecosystem services, hydrology, sustainability

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