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Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P18WWMVR. Freshwater fish are among the most vulnerable taxa to climate change globally but are generally understudied in tropical island ecosystems. Climate change is predicted to alter the intensity, frequency, and variability of extreme flow events on the Caribbean island of Puerto Rico. These changes may impact Caribbean native and non-native stream ecosystems and biota complex ways. We compiled an extensive dataset of native and non-native fish assemblages collected at 119 sites across Puerto Rico from 2005 to 2015. We coupled these data with stream flow indices and dam height to understand how flow dynamics...
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Fish occurrence data to support high-resolution distribution models and test various community and macroecological hypotheses have not been available at the national scale. We present IchthyMaps, a database of high-quality historical fish occurrences covering fishes of the conterminous United States. Designed on the principles of metacommunity ecology, IchthyMaps is a compilation of presence records from atlases up to 1990, at the resolution of the 1:100,000 National Hydrography Database Plus (NHDPlus) inter-confluence stream segment, readily aggregated into hierarchically coarser units (e.g. hydrologic unit code 8-digit and 12-digit watersheds). IchthyMaps contains about 606,550 presence records for 1,038 species...
Categories: Data, Publication; Types: Citation; Tags: Alabama, Arizona, Arkansas, Biological Data, Biological sampling, All tags...
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This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope includes the predictions for 91 locations within bays and estuaries of the Gulf of Mexico, United States. The 91 locations are organized across 15 salinity groups and represented in the organizational structure of this data release. The input data files of imputed salinity (observations, response variable) and covariates (predictor variables)...
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This dataset contains information from 674 publications (academic and grey literature) that assessed the effects of climate variability and climate change on the 15 ungulate species that are native to the United States, Canada, Mexico, and Greenland. The publication contains literature published between 1947 and September 2020. Information documented includes study location, climate variables assessed, and ungulate outcomes measured (e.g., life history characteristics, population demographics, migratory behavior).
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This USGS data release contains 7Q10 and 30Q10 [lowest annual 7-day and 30-day average streamflow that occurs (on average) once every 10 years] statistics at 292 USGS streamgages in or adjacent to New York State excluding Long Island. all_sites_wstats.csv - includes 7Q10 and 30Q10 values for all sites and includes information on results from the trend analysis and which sites have daily exceedance probability values available. site_regulated_7day_exc_perc#.csv and site_regulated_30day_exc_perc#.csv files include daily exceedance probability values for all altered sites that were not suitable for calculating low flow statistics. R scripts used to compile and screen streamgage datasets of daily flow, perform...
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In 2021 and 2022, the U.S. Geological Survey (USGS), in cooperation with the Idaho Department of Water Resources (IDWR), drilled and constructed well SEP 16 (431900112593601) approximately 6 miles south-southeast of Big Southern Butte in Butte County, Idaho. The purpose of the well installation was to collect geologic, geophysical, and hydrologic data. On July 13, 2022, the USGS Idaho National Laboratory Project Office (INLPO) collected select geophysical logs within the cased well including natural gamma, neutron, neutron porosity, and gamma-gamma dual density logs. Gyroscopic deviation data were also collected during geophysical surveying to account for the horizontal and vertical displacement of the well. On...
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This file provides a table of all the of Species of Greatest Conservation Need listed in the North Central states' (MT, WY, CO, ND, SD, NE, and KS) State Wildlife Action Plans as of summer 2020. Species are organized by the number of states which listed them as Species of Greatest Conservation Need, and then by scientific name. Federal status is also provided for each species. This table is adapted from an unpublished species list compiled by the North Central Climate Adaptation Science Center.


    map background search result map search result map Historical Stream Fish Distribution Database for the Conterminous United States (1950-1990): IchthyMaps Species of Greatest Conservation Need in the North Central Region Drilling, construction, geophysical, water quality, and aquifer test data for well SEP 16, Butte County, Idaho The Effects of Flow Extremes on Native and Non-Native Stream Fishes in Puerto Rico (Deprecated July 2024) Low-Flow Statistics for New York State, Excluding Long Island, Computed Through March 2022 Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 Catalogue of the literature assessing climate effects on ungulates in North America (1947-2020) Low-Flow Statistics for New York State, Excluding Long Island, Computed Through March 2022 Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 Species of Greatest Conservation Need in the North Central Region Historical Stream Fish Distribution Database for the Conterminous United States (1950-1990): IchthyMaps Catalogue of the literature assessing climate effects on ungulates in North America (1947-2020)