This dataset meets the specifications of the "Recharging infrastructure for electric vehicles" scheme available at [schema.data.gouv.fr](https://schema.data.gouv.fr/etalab/schema-irve

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.

Geolocation at municipal level of the Ae opinions “Projects of works, works, improvements” contained in SIDE (https://side.developpement-durable.gouv.fr/PACA/avis-ae-projets-paca.aspx) (period 2009-2021). Sub-communal (ultra-majority) projects are attached to the municipality concerned; supra-communal perimeter projects are linked to the geometric entity equal to the meeting of the municipalities concerned.

Il n'y a pas de description pour ce jeu de données.

Qualité des eaux de baignade. Source des données : agence européenne de l'environnement, compilée par Jean Abibateci.

Environmental Radiation Data (ERD) is an electronic and print journal compiled and distributed quarterly by the Office of Radiation and Indoor Air's National Air and Radiation Environmental Laboratory (NAREL) in Montgomery, Alabama. It contains data from RadNet (previously known as ERAMS.)

The data for this research are gathered from a variety of environments to evaluate CO2 accumulation under a range of uncontrolled variables. The dataset includes both built environments and transportation settings, offering a comprehensive view of real-world conditions across different contexts:Built Environments: Data were collected from various indoor locations such as offices, banks, and public spaces like gyms and libraries. Each site was selected for its distinct characteristics, including occupancy levels, spatial dimensions, and ventilation systems. For example, data from a bank located on Anna Salai, Chennai, were recorded continuously over a 7-day period, capturing fluctuations in CO2 levels in relation to customer flow and operational hours on weekdays, weekends, and public holidays.Transportation Scenarios: The transportation data focus on enclosed areas with frequent occupant changes, such as air-conditioned buses and metro systems. This dataset includes CO2 measurements from specific routes, like the blue line of the Chennai Metro Rail, where sensors monitored variations in CO2 levels during both peak and off-peak hours, assessing the influence of passenger density on air quality.

Network Title: Quebec – Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs, Climate Monitoring and Observer Stations Network Domain: Weather Network Type: Atmospheric: Surface and climate Network Provider: Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs du Québec Network Provider Website: https://www.environnement.gouv.qc.ca/index_en.asp Station Automation: Mixed Highest Sampling Frequency: Hourly Data Feed Frequency: Twice a day or in Real time Period of Operation (Seasonal or Continuous): Continuous Number of Stations: 135 Category of Reported Elements: Temperature; Total Precipitation; Rainfall; Snowfall; Wind; Weather phenomenon observation Data Access Points: https://www.environnement.gouv.qc.ca/climat/donnees/ Quality Assessed (Yes/No): Yes Legal Constraints: https://www.quebec.ca/en/copyright

The database provides information on prescribed amounts, levels detected in aquatic environments, chemical structure, molecular weight, octanol-water partition coefficients, water solubility, environmental persistence, general toxicity information and specific toxicity levels to five groups of organisms (algae, mollusks, finfish, crustaceans, and select terrestrial animals).

Implantation des infrastructures de valorisation des déchets d'IDELUX Environnement

Emplacement des récipients publics pour la collecte séparée de la Ville de Luxembourg

Remote camera data on snow presence, snow depth, and wildlife detections on Moscow Mountain in Latah County, ID, USA. Reconyx Hyperfire I and Hyperfire II cameras were used and set to take hourly timelapse images and motion-triggered images. The cameras were deployed from October 2020 - May 2021. Snow presence was assessed up to 15 m from the camera. Snow depth was measured using virtual snow stakes created with the edger R package created by the author. Wildlife were marked as present in all photos in which they appear, and new individuals were counted. Snow density was collected using a federal or prairie snow sampler. Snow hardness was collected using a ram penetrometer. Solar radiation was calculated using hemispherical photographs. Cold-air pooling was approximated using a DEM. These data were used for two purposes: 1) to explore variability in snow disappearance dates in a complex forested terrain, and 2) to examine relationships between white-tailed deer (Odocoileus virginianus) and mule deer (O. hemionus) and snow properties including snow depth, density, and hardness.

Séché Environnement is a company. It is located in Paris, France and was founded in 1985. The company is part of the Industrials sector, specifically in the Commercial Services & Supplies industry.

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.

This is a PBL module on Air Pollution to be used in an introductory environmental science course to motivate students to analyze related environmental justice issues.US EPA data on "State EJScreen Data at the Block Group Level" (EJSCREEN_2023_BG_StatePct_with_AS_CNMI_GU_VI.csv) was downloaded from https://www.epa.gov/ejscreen/download-ejscreen-data on December 20, 2023.This data was processed/cleaned using the included R script - major changes (see the R script for full changes):The dataset was subset for the state of North Carolina.Only a subset of the variables were retained.Any row with missing information was removed. This reduced the number of rows, for North Carolina, from 7111 to 6494.Columns with percent values were converted from decimals to percentages.An additional, summarized dataset, summarized by county, is provided: we report the sum for ACSTOTPOP, AREALAND, and AREAWATER, and the mean for the other variablesThe data dictionary is included.PBL Module: TBAInstructor Notes: TBAThe following files are included:Data Dictionary: Data_Dictionary_EJSCREEN_2023_BG_Columns.pdfProcessed Dataset for North Carolina: DS4EJ_EJScreen_State_BGLevel_NC.csvSummarized Dataset for North Carolina (summarized by county): DS4EJ_EJScreen_State_BGLevel_NC_Summarized_By_County.csvR Script for Data Processing: DSEJ_data_cleaning_EJSCREEN.rOriginal Dataset from which Data was Extracted for North Carolina: DS4EJ_EJSCREEN_2023_BG_StatePct_with_AS_CNMI_GU_VI.csv

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.

The employees of Séché Environnement with headquarters in France amounted to 6.17 thousand in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total increase by approximately 1.54 thousand. The trend from 2019 to 2023 shows, however, that this increase did not happen continuously.

In this Fourth SOE Report, the Ministry of Natural Resources and Environment adopted the DriversPressures-State-Indicator-Response (DPSIR) Framework to assess the four main Thematic Areas namely the Natural Environment, Built Environment, Atmosphere & Climate Change and Environment Governance. Each theme comprises of several indicators that are assessed accordingly based on the tool used. It is the hope of the Government through the MNRE, that the State of the Environment Report will enhance decision making for environmental protection and sustainable development at all levels of Samoa’s economy.

Diese Ebene bietet einen Überblick über alle Vorhaben, für die ein integrierter Umwelt-Jahresbericht (IMJV) vorgelegt wurde. Für jeden Vorgang wird eine URI von Linked Open Data (LOD) mit einem Überblick über die Komponenten und ihre Download-Links des IMJV-Jahresberichts bereitgestellt. Der Integrierte Umwelt-Jahresbericht (IMJV) ist ein Bericht, der jährlich von Unternehmen und Einrichtungen in Flandern erstellt wird, um Informationen über ihre Umweltleistung und ihre Umweltmaßnahmen zu liefern. Ziel des IMJV ist es, einen Überblick über die Auswirkungen von Unternehmen auf die Umwelt und den Umgang damit zu geben. Das IMJV umfasst unter anderem Folgendes: — Eine Beschreibung der Tätigkeiten der Gesellschaft; Eine Übersicht über die Emissionen in Luft, Wasser und Boden; — Die Nutzung von Energie und Rohstoffen; — Maßnahmen des Unternehmens zum Schutz der Umwelt; — Das Ergebnis etwaiger Umweltmaßnahmen des Betriebs; Beschreibung der Abfallbehandlung. Das IMJV wird der flämischen Regierung vorgelegt und ist ein wichtiges Instrument zur Überwachung und zum Vergleich der Umweltleistung von Unternehmen. Das IMJV ermöglicht es den Behörden, Strategien zu entwickeln und Unternehmen zu ermutigen, ihre Umweltleistung zu verbessern.