Data and Tools

This page shows all of the pages at www.epa.gov that are tagged with Data and Tools.

  • RSEI and TRI Emissions Data

    Information about how RSEI uses quantities of TRI chemicals released into the environment to estimate risk-related scores and other metrics.

  • CASTNET Summit

    Overview and documents from the 2019 CASTNET summit.

  • Criminal Environmental Crime Task Force Partners

    Site lists all the task forces that EPA's criminal program partners with nationwide by state.

  • About Conceptual Diagrams

    This page gives background information on what conceptual diagrams are and how they are used in CADDIS.

  • Urbanization - Energy Sources

    This page explains changes in basal energy sources with urbanization, with an overview of terrestrial leaf litter dynamics in urban streams and how urbanization can affect primary production, respiration, and dissolved organic carbon quality.

  • Urbanization - Stormwater Runoff

    This page introduces you to impervious surfaces associated with urbanization,and includes background information on how impervious surfaces affect biotic condition and threshold values of impervious surfaces.

  • Sediments

    This page introduces the sediments module, when to list sediments as a candidate cause, ways to measure sediments, simple and detailed conceptual diagrams for sediments, sediments module references and literature reviews.

  • Nutrients

    This page introduces to the nutrients module, when to list nutrients as a candidate cause, ways to measure nutrients, simple and detailed conceptual diagrams for nutrients, and module references and literature reviews.

  • Insecticides

    This page includes an introduction to the insecticides module,lists of insecticides as candidate causes, ways to measure insecticides, simple and detailed conceptual diagrams for insecticides, and insecticide references and literature reviews.

  • Herbicides

    This page includes an introduction to the herbicides module, when to list herbicides as a candidate cause, ways to measure herbicides, simple and detailed conceptual diagrams for herbicides, herbicides module references and literature reviews.

  • Temperature

    This page introduces the temperature module, when to list temperature as a candidate cause, ways to measure temperature, simple and detailed conceptual diagrams for temperature, temperature module references and literature reviews.

  • Ammonia

    This page covers the ammonia module, including when to list ammonia as a candidate cause, ways to measure ammonia, simple and detailed conceptual diagrams for ammonia, and literature reviews and references for the ammonia module.

  • Analytical Examples

    This page includes examples illustrating the use of statistical analysis to support different types of evidence, stream temp, temperature inferred from macroinverterbate, macroinvertebrate responses, zinc concentrations, observed trait characteristics.

  • Manipulation of Exposure at Other Sites

    This page explains how to derive and evaluate evidence using studies from other locations that manipulate exposure.

  • Symptoms

    This page shows how to derive and evaluate evidence using symptoms.

  • Getting Started

    This page provides a guide overview to the step-by-step guide to Stressor Identification, and fundamentals of causal assessment.

  • Step 5. Identify Probable Causes

    This page includes an overview of Step 5, to identify probable cause, then weighing evidence for a candidate cause, comparing evidence across causes, and analyzing the expected output of the causal assessment.

  • Long Creek Conceptual Model Diagram

    Figure 2-2 is an example of a simple conceptual model diagram for increased water temperature as a candidate cause of biological impairment.

  • Figures: Manipulation of Exposure at Other Sites

    These figures illustrate the concept of the type of evidence "Manipulation of Exposure at Other Sites"

  • The Case of DDT: Revisiting the Impairment

    This page is an example or case study showing how the identification of DDT and it's subsequent ban had a positive impact on the reproduction of birds. This is an excellent example of causal analysis with a positive outcome.

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