The data elements contained in this data environment were collected during the Prototype Operational Data Environment (P-ODE) formal data collection period. The Prototype Operational Data Environment (P-ODE) is a system that receives data from multiple sources in real-time, is capable of performing validation, integration, and sanitization checks, transforms the data into a consistent format, and makes the data available to applications as well as stores the data in ITS JPO data system. This data environment contains speed, volume, occupancy, travel time, and incident data collected along I-66 in Northern Virginia between May 2016 and August 2016. The ASN.1 data set contains data records in their original binary form, while Detector and Incident data sets each contain records that have been converted to text format.

This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

UNSD Environmental Indicators disseminate global environment statistics on ten indicator themes compiled from a wide range of data sources. The themes and indicator tables were selected based on the current demands for international environmental statistics and the availability of internationally comparable data. Statistics on Water and Waste are based on official statistics supplied by national statistical offices and/or ministries of environment (or equivalent institutions) in response to the biennial UNSD/UNEP Questionnaire on Environment Statistics, complemented with comparable statistics from OECD and Eurostat, and water resources data from FAO Aquastat. Statistics on other themes were compiled by UNSD from other international sources. In a few cases, UNSD has made some calculations in order to derive the indicators. However, generally no adjustments have been made to the values received from the source. UNSD is not responsible for the quality, completeness/availability, and validity of the data. Environment statistics is still in an early stage of development in many countries, and data are often sparse. The indicators selected here are those of relatively good quality and geographic coverage. Information on data quality and comparability is given at the end of each table together with other important metadata.

The data elements contained in this data environment were collected during the Prototype Operational Data Environment (P-ODE) formal data collection period. The Prototype Operational Data Environment (P-ODE) is a system that receives data from multiple sources in real-time, is capable of performing validation, integration, and sanitization checks, transforms the data into a consistent format, and makes the data available to applications as well as stores the data in ITS JPO data system. This data environment contains speed, volume, occupancy, travel time, and incident data collected along I-66 in Northern Virginia between May 2016 and August 2016. The ASN.1 data set contains data records in their original binary form, while Detector and Incident data sets each contain records that have been converted to text format. This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Natural and man-made environmental resources – fresh water, clean air, forests, grasslands, marine resources, and agro-ecosystems – provide sustenance and a foundation for social and economic development. The need to safeguard these resources crosses all borders. Today, the World Bank is one of the key promoters and financiers of environmental upgrading in the developing world. Data here cover forests, biodiversity, emissions, and pollution. Other indicators relevant to the environment are found under data pages for Agriculture & Rural Development, Energy & Mining, Infrastructure, and Urban Development.

Documentation on getting started with the Inform Data Portal

Environmental Sensitivity Index (ESI) data characterize the marine and coastal environments and wildlife based on sensitivity to spilled oil. Coastal species that are listed as threatened, endangered, or as a species of concern, by either federal or state governments, are a primary focus. A subset of the ESI data, the ESI Threatened and Endangered Species (T&E) databases focus strictly on these...

1. Despite considerable theoretical interest in how the evolution of phenotypic plasticity should be shaped by environmental variability and stochasticity, how individuals actually respond to these aspects of the environment within their own lifetimes remains unclear. 2. We propose that this understanding has been hampered by experimental approaches that expose organisms to fluctuating environments (typically treatments where fluctuations in the environment are cyclical versus erratic) for a pre-determined duration, while ensuring that the mean environment over that the entire exposure period is invariable. This approach implicitly assumes that responses to the mean and variance/predictability in the environment occur over the same time scale. If this assumption is false, one potential outcome is that phenotypic differences among the treatment groups might arise in response to differences in the mean environment that are present over shorter time periods among those same treatment group...

Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.

Natural and man-made environmental resources – fresh water, clean air, forests, grasslands, marine resources, and agro-ecosystems – provide sustenance and a foundation for social and economic development. The need to safeguard these resources crosses all borders. Today, the World Bank is one of the key promoters and financiers of environmental upgrading in the developing world. Data here cover forests, biodiversity, emissions, and pollution. Other indicators relevant to the environment are found under data pages for Agriculture & Rural Development, Energy & Mining, Infrastructure, and Urban Development.

Multilateral environmental agreements (MEAs) are agreements between several parties—that is, States or, in some cases, regional economic integration organisations such as the European Union—to pursue specific measures aimed at protecting the environment and conserving natural resources. This type of initiative is often brought about by worldwide concerns about the great and sometimes serious impacts of seemingly harmless human activities on the Earth's fragile environment. In response to these impacts, nations are now questioning the long-term sustainability of such activities in view of the need to ensure a safe future for coming generations. Available online Call Number: [EL] ISBN/ISSN: 978-92-807-2845-3 Physical Description: 124 p

As of 2024, around 65 percent of respondents selected faster deployments as the main benefit of running data services or workloads on Kubernetes. In contrast, only two percent of respondents indicated that they haven’t seen business value and don’t expect to.

State of Environment (SoE) reports provide in-country partners with a process to gather data on current environmental indicators, document their status, and formulate a plan for keeping these indicators on track or developing policies and programs as needed. This SoE Toolkit dataset contains resources that serve as guides to help create up-to-date State of Environment reports.

Enviro Data SA is South Australia’s environment information and data portal. The portal contains a wide range of information and data relating the state’s natural resources including maps, reports, downloadable data, web applications (data systems). Enviro Data SA incorporates NatureMaps, WaterConnect and SA Climate Ready.

Data warehouse that links other environmental databases by facility site. Use it to explore environmental information collected by Iowa DNR to answer questions such as: 1. Has DNR had any current or past dealings with a piece of property? 2. What environmental permits are held by an industrial facility? 3. Where are the potential sources of contamination in my watershed? 4. Have there been any violations of any permits at a facility?

Motivation/Problem Statement: DEREChOS is a natural advancement of the existing, highly-successful Automated Event Service (AES) project. AES is an advanced system that facilitates efficient exploration and analysis of Earth science data. While AES is well-suited for the original purpose of searching for phenomena in regularly gridded data (e.g., reanalyses), targeted extensions would enable a much broader class of Earth science investigations to exploit the performance and flexibility of this service. We present a relevancy scenario, Event-based Hydrometeorological Science Data Analysis, which highlights the need for these features that would maximize the potential of DEREChOS for scientific research.

Proposed solution: We propose to develop DEREChOS, an extension of AES, that: (1) generalizes the underlying representation to support irregularly spaced observations such as point and swath data, (2) incorporates appropriate re-gridding and interpolation utilities to enable analysis across data from different sources, (3) introduces nonlinear dimensionality reduction (NDR) to facilitate identification of scientific relationships among high-dimensional datasets, and (4) integrates Moving Object Database technology to improve treatment of continuity for the events with coarse representation in time. With these features, DEREChOS will become a powerful environment that is appropriate for a very wide variety of Earth science analysis scenarios.

Research strategy: DEREChOS will be created by integrating various separately developed technologies. In most cases this will require some re-implementation to exploit SciDB, the underlying database that has strong support for multidimensional scientific data. Where possible, synthetic data/inputs will be generated to facilitate independent testing of new components. A scientific use case will be used to derive specific interface requirements and to demonstrate integration success.

Significance: Freshwater resources are predicted to be a major focus of contention and conflict in the 21st century. Thus, hydrometeorology and hydrology communities are particularly attracted by the superior research productivity through AES, which has been demonstrated for two real-world use cases. This interest is reflected by the participation in DEREChOS of our esteemed collaborators, who include the Project Scientist of NASA SMAP, the Principal Scientist of NOAA MRMS, and lead algorithm developers of NASA GPM.

Relevance to the Program Element: This proposal responds to the core AIST program topic: 2.1.3 Data-Centric-Technologies. DEREChOS specifically addresses the request for big data analytics, including tools and techniques for data fusion and data mining, applied to the substantial data and metadata that result from Earth science observation and the use of other data-centric technologies.

TRL: Although AES will have achieved an exit TRL of 5 by the start date of this proposed project, DEREChOS will have an entry TRL of 3 due to the new innovations that have not previously been implemented within the underlying SciDB database. We expect that DEREChOS will have an exit TRL of 5 corresponding to an end-to-end test of the full system in a relevant environment.

RISE is a Reclamation open data system for viewing, accessing, and downloading Reclamation's water and water-related data. With RISE you can:

Find Reclamation data by searching the catalog or browsing the map .

Query time series data for specific dates, parameters, and locations, then plot or download the data

Obtain machine-readable data through an Application Programming Interface (API) for integration into tools and analyses.

View geospatial data on a map , download it for offline analysis, or get a web service connection to add to your own map.

RISE helps fulfill Reclamation’s responsibilities under the OPEN Government Data Act to make data assets available in open and machine-readable formats. RISE is the replacement for the Reclamation Water Information System (RWIS).

This raw dataset presents the data related to the bar, and bedroom environments captured with the data acquired from microphone available in off-the-shelf mobile devices.

This dataset contains species data extracted from Natural England's Environmental Monitoring Database (EMD) in January 2016. The EMD was developed to hold vegetation, bird and other species data gathered by a wide range of surveys. Most (but not all) of these Surveys were designed to monitor habitats and species being targeted for management by agri-environment schemes. The data has almost all been gathered since 1987 and the main schemes involved comprise the Environmentally Sensitive Areas, Countryside Stewardship schemes and Environmental Stewardship. The data comprise species records from a wide range of moorland, grassland, wetland and coastal habitats. As the dataset comprises records from many surveys, designed with specific individual purposes, the distribution of sampling points are a function of those individual surveys rather than representing any systematic coverage within the dataset as a whole. There are no sensitive records in this dataset. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. (Environment theme)

DNV is a risk and classification company with roots dating back to the founding of Det Norske Veritas (DNV) in 1864. DNV operates in the oil, gas, and renewable energy sectors.

The data produced by DNV is stored in their own Environmental Monitoring database (MOD). It comprises approximately 2.8 million species occurrence records, as well as chemical and geology records. This information comes from grab sampling conducted in areas around oil drilling stations. GBIF Norway is working with DNV to publish the species abundance data in the MOD database.

The grab sampling process is done on a yearly basis around the months of May and June, but not all stations are sampled each year. In general sampling is done around each station every third year, and in some areas samples have been repeated since the 1990s.

Environmental Sensitivity Index 2002 Set:

This data set contains vector lines representing the shoreline and coastal habitats of Connecticut classified according to the Environmental Sensitivity Index (ESI) classification system. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources.

This data set contains vector polygons representing the shoreline and coastal habitats of Connecticut classified according to the Environmental Sensitivity Index (ESI) classification system. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. The ESI data were collected, mapped, and digitized to provide environmental data for oil spill planning and response. The Clean Water Act with amendments by the Oil Pollution Act of 1990 requires response plans for immediate and effective protection of sensitive resources.

The Pacific Network for Environmental Assessment (PNEA) Portal is an initiative of the Secretariat of the Pacific Regional Environment Programme (SPREP) to support government officials from Pacific Island countries and territories who work with environmental impact assessment (EIA), strategic environmental assessment (SEA) as well as Environmental and Social Safeguards (ESS).

The portal complements SPREP’s current capacity building program for EIA and SEA - including the recently launched Regional EIA Guidelines, the Coastal Tourism EIA guidelines, and SEA guidelines.