The AQUASTAT portal enables users to access the core database of country statistics, focused on water resources, water uses and agricultural water management. Along with it, other water information in the form of complementary databases, such as the irrigated crop calendars and the sub-national irrigation areas databases, the detailed database on dams and reservoirs and the water-and agriculture-related institutions database are available. The glossary is also an important component of AQUASTAT, offering multilingual definitions of 500+ water-related terms and key indicators, including detailed reference sources and links to related terms.

CEEDAR is a Data Asset Register logging relevant datasets with accompanying information and metadata (where available).

The City and County Energy Profiles lookup table provides modeled electricity and natural gas consumption and expenditures, on-road vehicle fuel consumption, vehicle miles traveled, and associated emissions for each U.S. city and county. Please note this data is modeled and more precise data may be available from regional, state, or other sources. The modeling approach for electricity and natural gas is described in Sector-Specific Methodologies for Subnational Energy Modeling: https://www.nrel.gov/docs/fy19osti/72748.pdf. This data is part of a suite of state and local energy profile data available at the "State and Local Energy Profile Data Suite" link below and builds on Cities-LEAP energy modeling, available at the "EERE Cities-LEAP Page" link below. Examples of how to use the data to inform energy planning can be found at the "Example Uses" link below.

Data and statistics on energy consumption in homes, commercial buildings, manufacturing, and transportation. Data released monthly or annually.

This project estimates hourly demand response availability across the continental U.S. for the year 2006. The resulting data set is disaggregated by balancing authority area, end use, and grid application. End uses include 14 categories across residential, commercial, industrial and municipal sectors. Grid applications include the 5 bulk power system services of regulation reserve, flexibility (or ramping) reserve, contingency reserve, energy, and capacity. Based on the physical requirements of the various bulk power system services and the estimated end use electric load shapes, potential availability of demand response is calculated and provided as a series of csv files.

Transport for NSW provides projections of employment at the small area (Travel Zone or TZ) level for NSW. The latest version is Travel Zone Projections 2022 (TZP22), released November 2022. This new version TZP22 is an update on the previously published [TZP19](https://opendata.transport.nsw.gov.au/dataset/employment-projections/resource/77e880c1-0073-42bd-850a-ddf974e26cd6) and aligns with the [NSW Government Common Planning Assumptions](https://www.treasury.nsw.gov.au/information-public-entities/common-planning-assumptions). TZP22 Employment Projections are for employed persons by place of work. They are provided by Industry using two breakdowns: * 33 industry categories (equivalent to the ABS 1-digit Australia and New Zealand Standard Industrial Classification (ANZSIC) codes with the exception of Manufacturing which is at 2-digit level). * 4 Broad Industry Categories (groupings of the above) The projections in this release, TZP22 are presented annually 2016 to 2026 and five-yearly from 2026 to 2066 and are in TZ16 geography. Please note, TZP22 is based on best available data as at early to mid 2022. It includes the impacts from the Covid-19 pandemic and does not include results from the ABS 2021 Census as the relevant data had not been released at the time of TZP22 production. **Key Data Inputs used:** * TZP22 Workforce Projections * Census Journey to Work 2016 dataset by Destination Zone - ABS * State-level Employment projections – NSW Treasury * Employment by industry projections - Victoria University * Future Employment Development Database (FEDD) - a custom dataset compiled by TfNSW in late 2019 and updated in mid-2022, that presents the number of jobs expected from major projects based on publicly available documents. For a summary of the TZP22 Projections method please refer to the [TZP22 Factsheet](https://opendata.transport.nsw.gov.au/dataset/employment-projections/resource/cabdece8-98a2-4004-b2bc-30e4d153a2da) For more detail on the projection process please refer to the [TZP22 Technical Guide](https://opendata.transport.nsw.gov.au/dataset/employment-projections/resource/ca2fcd4d-fcaf-412a-b761-e5c86af6f570) Additional land use information for [population](https://opendata.transport.nsw.gov.au/dataset/population-projections) and [workforce](https://opendata.transport.nsw.gov.au/dataset/workforce-projections) as well as [Travel Zone boundaries for NSW](https://opendata.transport.nsw.gov.au/dataset/travel-zones-2016) are also available for download on the Open Data Hub. A visualisation of the employment projections is available on the Transport for NSW Website under [Reference Information.](https://www.transport.nsw.gov.au/data-and-research/reference-information/travel-zone-explorer-visualisation) **Cautions** The TZP22 dataset represents one view of the future aligned with the NSW Government Common Planning Assumptions and population and economic projections. The projections are not based on specific assumptions about future new transport infrastructure, but do take into account known land-use developments underway or planned, and strategic plans. * TZP22 is a strategic state-wide dataset and caution should be exercised when considering results at detailed breakdowns. * The TZP22 outputs represent a point in time set of projections (as at early to mid 2022). * The projections are not government targets. * Travel Zone (TZ) level outputs are projections only and should be used as a guide. As with all small area data, aggregating of travel zone projections to higher geographies leads to more robust results. * As a general rule, TZ-level projections are illustrative of a possible future only. * More specific advice about data reliability for the specific variables projected is provided in the “Read Me” page of the Excel format summary spreadsheets on the TfNSW Open Data Hub. * Caution is advised when comparing TZP22 with the previous set of projections (TZP19) due to addition of new data sources for the most recent years, and adjustments to methodology. **Further cautions and notes can be found in the TZP22 Technical Guide.**

This is a point dataset of the location of emission site facilities. These include Industrial Emissions (IE), Integrated Pollution Control (IPC) and Waste EPA licensed facilities.

Midwest Geological Sequestration Consortium, Phase II, Inventory of Industrial Stationary CO2 Emissions in the Illinois Basin.

This is a point data set of the location of urban waste water emission points. In terms of usage of this dataset please note that there is a period of time between when emission locations are licensed and when they appear in this dataset.

The U.S. Geological Survey maintains national data bases of water-use information. The data are collected and compiled every five years for each State, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands. County, state, and national water-use estimates may be downloaded from the National Water Information System Web (NWISWeb) interface, Water Data for the Nation, by selecting the Water Use button or data category pull-down. Data on NWISWeb represent the current best estimates, and may have been revised from previous publications. Data available from the USGS County Water-Use generally reflect the published report, and may have been revised in subsequent analyses. Note: State-level data from 1950-1980 and watershed data are not available on NWISWeb, but they can be downloaded USGS County Water-Use Data link.

This folder contains the input data for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) source water baselines studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. There are also eight other separate DAMS submissions, one per source water, that include the model results for the published studies. In this data submission, all model inputs across the eight baselines are included. The data structure and content are described in a README.txt file. For more details on how to use the data in WaterTAP3 please refer to the model documentation and GitHub site found at "WaterTAP3 Github" linked in the submission resources.

Description: This folder contains the results for the WaterTAP3 model that was used for the eight NAWI (National Alliance for Water Innovation) baseline studies published in the Environmental Science and Technology special issue: Technology Baselines and Innovation Priorities for Water Treatment and Supply. The data structure and content are described in a README.txt file. For more details on how to use the data and interpret the results please refer to the model documentation and GitHub site linked in the submission.