Jeu de données regroupant une partie des indicateurs du bulletin trimestriel des déplacements publié par l'Observatoire des déplacements de la Ville de Paris depuis 1990.Certaines données accessibles ici remontent à 2011.L'indice vélos est remplacé par un nombre moyen journalier depuis le troisième trimestre 2022.Les indicateurs sont illustrés et le dernier bilan est téléchargeable sur la page Bilan des déplacements à Paris.

L’observatoire EdTech : www.observatoire-edtech.com ( 2017 – 2019) était le premier observatoire qui recensait de manière déclarative les edtech, les acteurs du numérique pour l'éducation et la formation,en France. Suite à la fermeture du site, il a été décidé de rapatrier les données sous licence Open Database (ODbL) à date sur le site Data Gouv. Cette licence permet à chacun d’exploiter publiquement la base de données ; à condition néanmoins de maintenir la licence sur la base de données, et éventuellement, sur les modifications qui y sont apportées, et de mentionner expressément l’usage, s’il génère des créations à partir de celles‐ci. 437 organisations innovantes (startups, pme, et associations) qui dessinent l'école de demain, l'université du futur et promettent de révolutionner l'apprentissage tout au long de la vie sont ainsi référencées dans la base. Elles sont classées selon différents critères (secteur, localisation, type de structure, type de service, technologie utilisée, clientèle). L'observatoire est le fruit de la collaboration de la Banque des Territoires (Caisse des Dépôts) et Cap Digital. Il a été réalisé avec le soutien de la Maif. Il est coréalisé avec des acteurs clés de l’écosystème : la DNE du ministère de l’éducation nationale, BPI France le Hub, La région Ile-de-France, l'association des Vice-Présidents en charge du numérique dans l'enseignement supérieur le SPN, Edudcazur, Ed21, L’Accélérateur EdJobTech EM Lyon, l’Afinef, Edtech France, Deloitte Digital, Educapital, Learnspace, Appscho, OpenClassrooms, Learn Assembly, 360Learning, Digischool, Startup For Kids, EducPro et Maddyness.

Explore Observatoire Pharos through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

This is the historic impact factors of L'Observatoire computed for each year in CSV format. The first column shows the exaly JournalID for mixing this table with those of other journals

The National Environment and Vulnerability Observatory (ONEV) is responsible for: Collecting and producing environmental data; Ensuring periodic environmental watches on issues relating to rising water levels, the dynamics of aquifers, monitoring of protected areas and areas at risk; Setting up a national network of environmental measurement stations; Facilitating decision-making support through the publication of journals and conjecture bulletins on the Environment and Vulnerability; Serving as an instrument for decision-making and the establishment of environmental performance parameters and indicators; Maintaining the register of current and past environmental assessments; Preparing the triennial report on the state of the environment; Working with public and private institutions - including Territorial Communities, Non-Governmental Development Aid Organizations, public and private companies, associations and other civil society groups that generate, manage or process Environmental Information; Ensuring the interface with CONATE in preparing the triennial report on the state of the environment; Define and initiate the implementation of the National Environmental Information System

Explore Observatoire Numérique NouvelleCalédonie through unique data from multiples sources: key facts, real-time news, interactive charts, detailed maps & open datasets

Analysis of ‘Données de l'observatoire open data des territoires, édition 2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/5fb4eb551943fe53de9868bf on 19 January 2022.

--- Dataset description provided by original source is as follows ---

Ce jeu de données recense les plateformes et les organisations qui participent au développement de l'open data dans les territoires. Il contient les ressources suivantes : - Données brutes de la table organisations au format CSV - Données brutes de la table des plateformes au format CSV - Toutes les données au format xls avec les organisations, plateformes, indicateurs calculés (avec données de référence, calculs et graphiques)

--- Original source retains full ownership of the source dataset ---

Original provider: Observatoire PELAGIS UAR 3462 University La Rochelle - CNRS

Dataset credits: Observatoire PELAGIS UAR 3462, University La Rochelle - CNRS

Abstract: Since 2003, the Observatoire PELAGIS (La Rochelle University) participated to annual halieutic surveys, led by the IFREMER, to collect data on the distribution of marine top predators in order to estimate their relative abundance and preferred habitats in the Bay of Biscay, the Channel and the North Sea. Each year, three observers take place on board the vessel “Thalassa” to record sightings of seabirds, marine mammals, large fish and fishing boats, from dawn to dusk. Following distance sampling methods, visual censuses are made by two observers (while the third observer is resting) from the upper platform of the boat (min. 14m above the sea level). They are placed on each side of the deck, looking ahead for marine predator with an angle of 180°. For each sighting, the species and the number of individuals are recorded, as well as the behaviour, distance and angle (upon request).

Purpose: One of the main advantages of this survey lays in its ecosystemic approach, which provides information on all the components of the food web (from planktonic organisms to predators) as well as data on the environmental parameters (sea surface temperature, salinity…). Interactions between prey and predators are complex in marine ecosystems, which are submitted to strong spatio-temporal variations. Thanks to ecosystem-based surveys, observed distributions and densities of marine predators can be related to the occurrence of their prey, providing to scientists and managers a better understanding of the marine ecosystems structure.

Supplemental information: [2022-10-20] The records on 2016-09-21 got the longitude sign swapped. they are corrected. [2022-01-18] Data in 2020 and 2021 were appended. [2018-04-26] Data in 2016 and 2017 were appended.

Time and group size of the sightings are not available online. They may be released upon request.

This is the historic impact factors of Observatoire De La Société Britannique computed for each year in CSV format. The first column shows the exaly JournalID for mixing this table with those of other journals

Atmospheric CH4 concentrations, both ICOS and non-/pre-ICOS data, delivered by the Atmospheric Thematic Center Blanc, P., Delmotte, M., Lopez, M., Ramonet, M., Xueref-Remy, I., Atmosphere Thematic Centre, ICOS-CAL-FCL (2023). Atmospheric CH4 product, Observatoire de Haute Provence (50.0 m), 2014-07-16–2023-03-31, European ObsPack, https://hdl.handle.net/11676/88dgLhx0vYwu9ztO-2ZUUHMS

Meudon observatory.

Atmospheric CH4 concentrations, both ICOS and non-/pre-ICOS data, delivered by the Atmospheric Thematic Center Blanc, P., Delmotte, M., Lopez, M., Ramonet, M., Xueref-Remy, I., Atmosphere Thematic Centre, ICOS-CAL-FCL (2023). Atmospheric CH4 product, Observatoire de Haute Provence (10.0 m), 2014-07-16–2023-03-31, European ObsPack, https://hdl.handle.net/11676/wRipmprwk093HFr21CPqmGec

The Strengbach Watershed is a granitic watershed (80ha) located in NE of France, in the Vosges Mountains at altitudes between 880 and 1150 m (omsl) and with highly incised side slopes (mean 15°). This catchment is situated in a remote area lacking human activities except forest management. The forest covers 90% of the area and corresponds about to 80% spruce (mainly Piceas Abies L.) and 20% beech (Fagus Sylvatica). The climate is temperate oceanic mountainous. The site is manage by Ecole et Observatoire des Sciences de la Terres (University of Strasbourg / CNRS-INSU-France).

Original provider: Observatoire PELAGIS - Reseau National Echouage (French stranding network) - UAR 3462 University La Rochelle - CNRS

Dataset credits: Observatoire PELAGIS UAR 3462, University La Rochelle - CNRS- Agence des Aires Marines Protégées - Direction de l'Eau et de la Biodiversité

Abstract: The French stranding network is co-ordinated by the Joint Service Unit PELAGIS, UAR 3462, University of La Rochelle-CNRS, dedicated to monitoring marine mammal and seabird populations, as a continuous monitoring programme. The network is constituted of around 300 trained volunteers distributed along the whole French coast who collect data according to a standardized observation and dissection protocol. The network was established in the early 1970’s and its organisation and procedures are considered unchanged since the mid 1980’s. Data are centralized into a single database held in La Rochelle.

Purpose: With over 23,000 entries, the stranding data base documented since 1970 by the French stranding network provides one of the largest dataset on cetaceans in Europe. Stranding data would rank high in cost-effectiveness compared to most other sources of data on cetaceans because they are do not require to any expensive field work at sea. As a result of their comparatively low cost per unit effort, stranding data can be collected across wide spatial and temporal ranges and at fine resolution. For scientific purposes, the term “stranding” is commonly used for either live or dead specimen.

Supplemental information: [2022-01-18] Data in 2020 were appended. [2018-04-26] Records in 2016 were appended. [2017-01-05] Records in 2015 were appended.

Time and group size of the sightings are not available online. They may be released upon request.

Terrestrial stable lights at night mostly represent light from human settlements and industrial sites with electricity. We thus used lights at night as a proxy of coastal infrastructure development. The data come from the Nighttime Lights Time Series. Nighttime light products are compiled by the Earth Observation Group at the National Oceanic and Atmospheric Administration’s (NOAA) National Centers for Environmental Information (NCEI). They use globally available nighttime data obtained from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) of the Defense Meteorological Satellite Program (DMSP) to characterize global average radiance composite images at a 15 arc-second (~200 m) resolution. We used the annual Version 1 Nighttime VIIRS DNB composites between 2015 and 2016 to characterize coastal development in coastal areas of the St. Lawrence. It is possible to consult the scientific report of the eDrivers project: Characterizing Exposure to and Sharing Knowledge of Drivers of Environmental Change in the St. Lawrence System in Canada and the additional data. It is possible to consult the application eDrivers. REFERENCE: Christopher D Elvidge, Kimberly Baugh, Mikhail Zhizhin, Feng Chi Hsu & Tilottama Ghosh (2017) VIIRS night-time lights, International Journal of Remote Sensing, 38:21, 5860-5879, DOI: 10.1080/01431161.2017.1342050 Les lumières stables terrestres nocturnes représentent principalement la lumière provenant des établissements humains et des sites industriels alimentés en électricité. Nous avons donc utilisé les lumières nocturnes comme indicateur du développement des infrastructures côtières. Les données proviennent de la série chronologique Nighttime Lights. Les produits d'éclairage nocturne sont compilés par le groupe d'observation de la Terre des centres nationaux d'information environnementale (NCEI) de la National Oceanic and Atmospheric Administration (NOAA). Ils utilisent les données nocturnes disponibles dans le monde entier obtenues à partir de la bande jour/nuit (DNB) de la suite de radiomètres imageurs infrarouges visibles (VIIRS) du Defense Meteorological Satellite Program (DMSP) pour caractériser des images composites de radiance moyenne mondiale à une résolution de 15 secondes d'arc (~200 m). Nous avons utilisé les composites Nighttime VIIRS DNB de la version 1 annuelle, entre 2015 et 2016, pour caractériser le développement côtier dans les zones côtières du Saint-Laurent. Il est possible de consulter le rapport scientifique du projet eDrivers : Characterizing Exposure to and Sharing Knowledge of Drivers of Environmental Change in the St. Lawrence System in Canada et les données complémentaires. Il est possible de consulter l'application eDrivers. RÉFÉRENCE : Christopher D Elvidge, Kimberly Baugh, Mikhail Zhizhin, Feng Chi Hsu & Tilottama Ghosh (2017) VIIRS night-time lights, International Journal of Remote Sensing, 38:21, 5860-5879, DOI: 10.1080/01431161.2017.1342050

Jeu de données regroupant les différents jeux de données liés à la population.

eBird is a collective enterprise that takes a novel approach to citizen science by developing cooperative partnerships among experts in a wide range of fields: population ecologists, conservation biologists, quantitative ecologists, statisticians, computer scientists, GIS and informatics specialists, application developers, and data administrators. Managed by the Cornell Lab of Ornithology eBird’s goal is to increase data quantity through participant recruitment and engagement globally, but also to quantify and control for data quality issues such as observer variability, imperfect detection of species, and both spatial and temporal bias in data collection. eBird data are openly available and used by a broad spectrum of students, teachers, scientists, NGOs, government agencies, land managers, and policy makers. The result is that eBird has become a major source of biodiversity data, increasing our knowledge of the dynamics of species distributions, and having a direct impact on the conservation of birds and their habitats.

A project to characterize important coastal habitats on the north shore of the St. Lawrence Estuary was funded for a period of 4 years (2018-2022). The purpose of this project is to generate reference ecological data to draw a global portrait of the state of coastal marshes in the upper north shore sector of Quebec. This dataset covers the area of the Baie de Mille-Vaches marsh, also known as Pointe à Boisvert (Municipality of Longue-Rive). In order to improve knowledge of this ecosystem, flora and fauna (ichthyological and benthic) inventories have been carried out and the various abiotic factors characterized. Geomorphological data was also collected, but is not included in this dataset. However, they remain available, contact the ZIP Committee of the North Shore of the Estuary (RNE) directly to access them. The ZIP RNE Committee also holds orthomosaics of the marsh. It is possible to consult the five other marsh datasets that were characterized as part of the project to characterize important coastlines: - The Pointe-aux-Outardes Marsh - The Portneuf-sur-Mer Marsh - The Pointe des Fortin Marsh - The Bays des Grandes and Petites Bergeronnes Marsh - The Hickey Marsh This project is part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada. Un projet de caractérisation des habitats littoraux d’importance de la rive nord de l’estuaire maritime du Saint-Laurent a été subventionné pour une période de 4 ans (2018-2022). Ce projet a pour but de générer des données écologiques de référence pour tracer un portrait global de l’état des marais littoraux dans le secteur de la haute côte-nord du Québec. Ce jeu de données couvre le secteur du marais de la baie de Mille-Vaches, également connu sous le nom de la pointe à Boisvert (Municipalité Longue-Rive). Afin d’améliorer les connaissances de cet écosystème, des inventaires floristiques et fauniques (ichtyologiques et benthiques) ont été réalisés et les différents facteurs abiotiques caractérisés. Des données géomorphologiques ont également été collectées, mais elles ne sont pas incluses dans ce jeu de données. Elles restent toutefois disponibles, contactez directement le Comité ZIP de la Rive Nord de l’Estuaire (RNE) pour y avoir accès. Le Comité ZIP RNE détient aussi des orthomosaïques du marais. Il est possible de consulter les cinq autres jeux de données de marais qui ont été caractérisés dans le cadre du projet de caractérisation des littoraux d'importance : - Le marais de la Pointe-aux-Outardes - Le marais de Portneuf-sur-Mer - **Le marais de la pointe des Fortin ** - Le marais des baies des Grandes et des Petites Bergeronnes - Le marais à Hickey Ce projet fait partie du Programme sur les données environnementales côtières de référence de Pêches et Océan Canada.

These data are vector and scalar component values of the Earth's magnetic field for 2004 recorded at the Boulder Magnetic Observatory in Colorado. Vector values are measured using 3 mutually orthogonal fluxgate magnetometer sensors. The scalar value of the total magnetic field is recorded with a proton precession magnetometer. All values are calibrated with measurements of the absolute value of the geomagnetic field using a DI-Flux magnetometer. The data are numerically filtered to prevent aliasing, and quality controlled during processing. Longer period values of the field, including hourly, daily, monthly, and annual means are derived from the 1-minute data.