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Application for identifying relevant dam removal documents using the GeoDeepdive infastructure
This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the software.
Identifies dam removal science for spatial units of interest
Test using maps.usgs.gov/map to visualize a data catalog
Methods, materials and notes related to extracting dam removal attributes from published text documents
This effort explores the possibility of accessing images from Flickr of a species of interest.
processes and methods associated to an ongoing global freshwater fisheries assessment
This repository contains Python code that explores methods that link sampling and feature information to the NHDPlusV2 and NHDHR datasets and provides a level of certainty.
methods exploring extraction of knowledge from literature into actionable databases
***DRAFT*** Code Used to Summarize the National Fish Habitat Partnership's National Inland Assessment of Fish Habitat Condition (2015) to Ecological and Jurisdictional Units.
Python package with methods to help build relationships between data and the publications they are referenced in.
Python methods to assist in (TerriaJS based) map catalog development.
Query dam removal science literature based on dam characteristics and landscape characteristics.
TESTING USE OF MAPS.USGS.GOV
USGS Data Management Tools python package ✨☄️✨
A USGS preliminary/provisional software package and associated command line tool that captures universal methods for stream network summarization. This work builds on original concepts from Tsang, Yin-Phan, Daniel Wieferich, Kuolin Fung, Dana M. Infante, and Arthur R. Cooper. 2014. An approach for aggregating upstream catchment information to support research and management of fluvial systems across large landscapes. SpringerPlus, vol. 3, no. 589. https://doi.org/10.1186/2193-1801-3-589.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.