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We parameteraized and validated the Soil Water Assessment Tool (SWAT) for major watersheds feeding the coastal wetlands. According to the downscaled GCM outputs for the next 50 years, we simulated the water discharges from the watersheds of Rio Grande de Loiza and Rio Culebrinas in 2011 - 2060.
Data Types:
  • File Set
Experts predict that the climate change will affect all natural and human systems. Historical climate records show changes in average and extreme temperatures, as well as an increase in annual climate variability; this changes can affect all continents of our planet in different ways and the high levels of poverty in some regions can worsen the impacts of climate change. In addition, families who are dedicated to making agriculture and owning small land units directly dependent on its production to keep your family economy. The purpose of this research was to identify levels of vulnerability of coffee farming families in four countries of the Mesoamerican Region (Nicaragua, Guatemala, El Salvador and Mexico), because coffee is an important livelihood for thousands of families in this region. In order to know the response of crops to projected changes, the state of their resources and ultimately the strategies that they can implement to minimize the impact of climate change, this research was done using climate models to project the coffee climate suitability and the exposure in this regions; also qualitative tools were combined under the focus on livelihoods and resources of families to identify the vulnerability level.
Data Types:
  • Tabular Data
  • File Set
Data products to support reproduction of the first interferometric localization of Fast Radio Burst 121102. First publication available at http://dx.doi.org/10.1038/nature20797 and data analysis recipes are available at http://github.com/caseyjlaw/FRB121102. The principle data products are nine tar files of fast-sampled interferometric data from the Very Large Array. Each observation segment includes 4 seconds (800 integrations) of visibilities centered on a radio burst from FRB 121102. Data is in science data model (SDM) format, which consists of a directory with metadata in XML files and binary data in the ASDMBinary subdirectory. Binary data were recorded with an integration time of 5 ms, frequencies at S-band (2.5-3.5 GHz; 256 channels), and dual-circular polarizations. Each file is identified by a unique name of the observation, plus the observation start time in MJD. Each visibility data set has an associated calibration file (telcal format; ending in ".GN") that can be parsed to apply gain calibration. The Python package rtpipe (https://github.com/caseyjlaw/rtpipe) can perform all calibration and analysis of these data. This library is supported by sdmpy (https://github.com/demorest/sdmpy), a Python library to read SDM files, and pwkit (https://github.com/pkgw/pwkit), a Python interface to the CASA data analysis package. See also http://realfast.io for information on the project behind the data acquisition system and analysis software.
Data Types:
  • Other
  • File Set
Replication code and sample data used for above mentioned publication in Political Analysis.
Data Types:
  • Software/Code
  • Geospatial Data
  • Document
  • File Set
Replication data for a forthcoming article in World Development. Abstract: Internal migration is thought to have substantial benefits for migrants and for the development of migrant-sending and migrant-receiving areas. In order to facilitate such migration, central governments may need to use fiscal transfers to ensure services to migrants, address infrastructure shortfalls, and ameliorate labor market displacement of natives. In fact, an extensive, mostly normative ``fiscal federalism'' literature has argued that central governments ought to use transfers to reduce interjurisdictional externalities such as those due to population displacements. We extend this literature empirically by examining the degree to which exogenous, long-term migration prompts the redirection of central fiscal resources in India. Following the literature on distributive politics, we argue that transfers in decentralized systems addressing the costs of population movements are influenced by partisan politics. Using monsoon shocks to migration, we show that increases in migration are met with greater central transfers but that these flows are at least 50% greater if the state-level executive is in the Prime Minister's political party. Consistent with the theory, the influence of politics is greatest on parts of the budget subject to greater executive control. This politicization may explain why Indian states maintain barriers to internal migration despite the development costs of doing so.
Data Types:
  • Software/Code
Additional Data for the publication "Absolute Configuration of Native Oligomeric Proanthocyanidins with Dentin Biomodification Potency" in the Journal of Organic Chemistry
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  • File Set
Prior scholarship overlooks the capacity of other actors to raise the political costs of unilateral action by turning public opinion against the president. Through a series of five experiments embedded on nationally representative surveys, we demonstrate Congress’ ability to erode support for unilateral actions by raising both constitutional and policy-based objections to the exercise of unilateral power. Congressional challenges to the unilateral president diminish support for executive action across a range of policy areas in both the foreign and domestic realm and are particularly influential when they explicitly argue that presidents are treading on congressional prerogatives. We also find evidence that constitutional challenges are more effective when levied by members of Congress than by other actors. The results resolve a debate in the literature and suggest a mechanism through which Congress might exercise a constraint on the president, even when it is unable to check him legislatively.
Data Types:
  • Software/Code
  • Document
  • Text
These files explain how to reproduce Wood's and Dong’s replication study of “Finding Missing Markets.” Replication researchers should start by reviewing the "Wood and Dong Recalling Extra Data readme".
Data Types:
  • Software/Code
  • Document
We created land fragmentation datasets in 1991 and 2000 for forests, urban areas, and wetlands according to the corresponding land cover maps (Kennaway and Helmer, 2007). Spatial resolution: 3 km; Temporal periods: 1991 and 2000.
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  • File Set
We simulated the coastal wetlands migration under sea level rise scenarios using the Sea Level Affecting Marshes Model (SLAMM). The input DEM is at the spatial resolution of 5 m created from Lidar data accessible at Digital Coast website. The wetland distribution is according to the National Wetland Inventory and the wetlands classification was modified to fit that in SLAMM manual. The developed areas were delineated according to the aerial photos taken in 2010 at the spatial resolution of 0.4 m. The wetland migration maps are at the spatial resolution of 5 m.
Data Types:
  • File Set
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