AndreaBozzo/ceres-open-data-index huggingface dataset:
Weather Station Data from Northern Cameroon (June 2023 - June 2024)

[Lien vers la fiche source] Abstract This dataset contains raw and processed weather measurements from three stations located in Bamé, Djiddé, and Pintchoumba in Northern Cameroon. The data spans from June 2023 to June 2024 and includes raw measurements, quality-checked data, and data aggregated at 5-minute and daily intervals. These stations were the first three installed as part of the [DeSIRA INNOVACC] Project. Weather Stations * Type: [METER Group ATMOS41] * Datalogger: [METER Group ZL6] * Quality Check Network: [Trans-African Hydro-Meteorological Observatory (TAHMO)] * Installation: each station is installed at the top of a 2m mast, enclosed in a fenced area, and positioned in a location free from potential turbulence to ensure measurement accuracy. Identifiers and Coordinates * Bamé: * * ID: z6-22047 / TA00804 * Coordinates: 9.08626, 13.5786388 * Elevation: 233m * Djiddé: * * ID: z6-22888 / TA00805 * Coordinates: 9.3578753, 13.6525851 * Elevation: 207m * Pintchoumba: * * ID: z6-22048 / TA00803 * Coordinates: 8.4886398, 13.453611 * Elevation: 359m Data Organization Each location archive contains three folders: * Raw and Corrected Records: Folder named with the z6-xxxxx identifier, containing raw data and records corrected by the connectivity network ZentraCloud. May include multiple configuration files for different periods. * 5-minute Aggregated Records: Folder named with the TAHMO code ending in "5min", containing quality-checked data at 5-minute intervals. * Daily Aggregated Records: Folder named with the TAHMO code ending in "daily", containing quality-checked data aggregated daily. Variables All variables measured by ATMOS41 stations : * atmospheric pressure (kPa), * precipitation (mm), * radiation (W/m2), * relative humidity (-), * temperature (degrees Celsius), * wind direction (degrees), * wind gusts (m/s), * wind speed (m/s), * lightning distance (km), * lightning events (-), Metadata : * humidity sensor temperature (degrees Celsius), * logger battery percentage (-), * logger reference pressure (kPa), * logger temperature (degrees Celsius), * tilt x axis (degrees), * tilt y axis (degrees)
Accessibilité des Hébergements en Ile de France - Paris je t'aime

Jeu de données présentant l’accessibilité des hébergements touristiques de la Métropole du Grand Paris ayant participé au programme d’accompagnement dédié de Paris je t’aime. Paris je t’aime – Office de tourisme est engagé aux côtés de la Ville pour améliorer l’accessibilité de la destination depuis plusieurs années avec une personne experte au sein de ses équipes. La précision des informations fournies aux personnes en situation de handicap en visite à Paris est un élément essentiel pour assurer et rassurer ces visiteurs sur les conditions d’accueil et de circulation. Parallèlement, selon le type de handicap, l’accessibilité des lieux varie et les informations utiles ne sont pas les mêmes. Dans la perspective des JOP24, Paris je t’aime – Office de tourisme coordonne, avec le soutien de la Ville de Paris, des ministères des Sports, du Tourisme et du Handicap et d’Atout France, une vaste campagne de récolte d’information liée aux conditions d’accueil de ces publics à travers la réalisation d’audits des hébergements. Cette campagne répond à plusieurs objectifs : * RECENSER l’offre accessible à l’échelle du Grand Paris avec une information précise à destination des personnes en situation de handicap. * DIFFUSER l’offre accessible à travers notre outil cartographique My Paris Je T’Aime Handicap (web app d’aide à l’organisation du séjour pour assurer et rassurer ces visiteurs sur les conditions d’accueil) et la mise à disposition en open data pour tout type de prestataires, notamment les associations spécialisées. * ACCOMPAGNER les hôteliers, s’ils le désirent, dans une meilleure prise en compte des publics aux besoins spécifiques à travers la mise à disposition de documents pédagogiques. Nous avons missionné trois cabinets d’accessibilité, Accèsmetrie, Action Handicap France, et LiessAccess, chargés d’effectuer une visite dans les établissements volontaires. Cette visite d’accessibilité est gratuite, son coût est supporté par Paris je t’aime – Office de tourisme et ses partenaires. Informations sur notre campagne d’accessibilité [plateforme d’audit] et [handicap@parisjetaime.com].
Inventaire des Observatoires des systèmes alimentaires territorialisés en France

[Lien vers la fiche source] Cette base de données a été réalisée entre septembre 2023 et mai 2024 dans le cadre du projet PLAT4TERFOOD du PEPR Systèmes Alimentaires, Microbiotes et Santé financé par l'Agence Nationale de la Recherche dans le contexte du plan de relance France 2030. Elle recense les observatoires des systèmes alimentaires territorialisés en France, c'est-à-dire les observatoires qui ont pour objet l'alimentation considérée comme locale, saine ou durable. Les observatoires sont ici définis comme des dispositifs sociotechniques dédiés à la collecte, au traitement et au diffusion de l'information. Leur émergence traduit un besoin de compréhension d'un phénomène par une communauté d'acteurs, généralement rassemblés autour d'un but commun. Le sujet des observatoires, les systèmes alimentaires territorialisés, sont ici définis comme ce qui se rapporte à l'alimentation ou l'agriculture considérée comme locale, saine, ou durable. Les observatoires répertoriés dans la base de données sont ceux dont le périmètre s'étend en France. Le jeu de données comporte trois tables liées : les observatoires, les jeux de données utilisés par les observatoires et les acteurs qui leur sont associés. La table des observatoires comporte entre autres des informations sur les acteurs liés (gestionnaires et partenaires), les jeux de données qu'ils utilisent, leurs productions, leurs objectifs, leurs cibles, leur périmètre géographique, leur licence, leur fréquence de mise à jour, leur dernière mise à jour, leur année de création, leur accessibilité financière et en ligne. La table des jeux de données comporte entre autres des informations sur les acteurs liés (gestionnaires et partenaires), les observatoires qui les utilisent, leurs catégories d'information (professionnel, produits, etc.), leur type de professionnel (producteur, distributeur, etc.), leur échelle administrative (Région, IRIS, etc.), leur type de production (animale, végétale), leur périmètre géographique, leur licence, leur caractère participatif, leur fréquence de mise à jour, leur dernière mise à jour, leur année de création, leur accessibilité en ligne. La table des acteurs comporte entre autres des informations sur leur type d'organisme (entreprise, service public, association, etc.), leur localisation, leur périmètre géographique, les observatoires qu'ils gèrent ou dont ils sont partenaires ou les jeux de données qu'ils produisent. Les données comportent : - Un fichier pour la table Observatoires (au format .xlsx ou .csv) ; - Un fichier pour la table Jeux de données (au format .xlsx ou .csv) ; - Un fichier pour la table Acteurs (au format .xlsx ou .csv) ; - Un fichier de métadonnées décrivant les différentes colonnes et la signification des entrées (au format .xlsx).
Maisons de santé pluriprofessionnelles

Localisation des structures de santé financées par le Département de l'Isère. Vous trouverez également des informations complémentaires sur le type de structure ou encore le type de porteur. Les différentes formes d’Équipes de Soins Primaires financées par le dispositif Isère santé : - Les Maisons de Santé Pluridisciplinaires, aussi appelées maisons de santé pluriprofessionnelles sont des lieux physiques où se rassemblent plusieurs professionnels de santé. Les professionnels portent un projet de santé commun qui définit les règles et objectifs de la structure, ils travaillent également de manière coordonnée. - Les pôles de santé sont des regroupements de professionnels de santé dont les règles et les objectifs sont communs à ceux d'une MSP. Cependant, l'exercice des professionnels de santé peut se faire dans un/ou hors les murs. Ainsi, une MSP peut faire partie d'un pôle de santé. - Les Centres de Soins Non-Programmés sont des établissements qui accueillent des personnes sans rendez-vous médicaux, pour des "petites" urgences. Plus d'informations sur le site [isere.fr]
Aggregation of dynamometric spectra obtained on individual fibers of fibrous materials, and simulation of dynamometric spectra numerically modeling their behavior in multi-material flat bundles of parallel fibers.

[Lien vers la fiche source] This deposit contains a computing platform and its accessories to aggregate data (raw, regressed with linear and polynomial equations) and use it for making several things: charting data, computing the data, makes two ways/methods of simulations and display their results. The application of this platform is single cotton fibers force vs elongation spectra (obtained on MANTIS instrument) in order to predict/simulate their behavior in bundles of parallel fibers breaking conditions. This platform may also be used with single-fiber test data that comes from other instruments.
Air Quality Observations

This dataset describes observations made of air quality by sensors distributed in Ballarat. The information was collected in real time by the sensors. The intended use of the information is to inform the public of the historical measured observations of air quality in Ballarat. The dataset is typically updated every 15 minutes. The City of Ballarat is not an official source of weather information. These observations are provided to the public for informative purposes only. Use other channels for official meteorological observations and forecasts.
Noise Observations

This dataset describes observations made of sound pressure by sensors distributed in Ballarat. The information was collected in real time by the sensors. The intended use of the information is to inform the public of the historical measured observations of sound pressure in Ballarat. The dataset is typically updated every 15 minutes. The City of Ballarat is not an official source of weather information. These observations are provided to the public for informative purposes only. Use other channels for official meteorological observations and forecasts.
Gene Expression RT-qPCR Data of Swine Influenza and PRRSV Interaction in Alveolar Macrophages

[Lien vers la fiche source] Abstract of the publication : Porcine respiratory disease complex represents a major challenge for the swine industry, with swine influenza A virus (swIAV) and porcine reproductive and respiratory syndrome virus (PRRSV) being major contributors. Epidemiological studies have confirmed the co-circulation of these viruses in pig herds, making swIAV-PRRSV co-infections expected. A couple of in vivo co-infection studies have reported replication interferences between these two viruses. Herein, using a reductionist in vitro model, we investigated the potential mechanisms of these in vivo interferences. We first examined the impact of swIAV on porcine alveolar macrophages (AMs) and its effects on AM co-infection by PRRSV. This was done either in monoculture or in co-culture with respiratory tracheal epithelial cells to represent the complexity of the interactions between the viruses and their respective target cells (epithelial cells for swIAV and AMs for PRRSV). AMs were obtained either from conventional or specific pathogen-free (SPF) pigs. SwIAV replication was abortive in AMs, inducing cell death at high multiplicity of infections. In AMs from three out of four conventional animals, swIAV showed no impact on PRRSV replication. However, inhibition of PRRSV multiplication was observed in AMs from one animal, accompanied by an early increase in the expression of interferon (IFN)-I and IFN-stimulated genes. In AMs from six SPF pigs, swIAV inhibited PRRSV replication in all batches, with an early induction of antiviral genes. Co-culture experiments involving tracheal epithelial cells and AMs from either SPF or conventional pigs all showed swIAV-induced inhibition of PRRSV replication, together with early induction of antiviral genes. These findings highlight the complex interactions between swIAV and PRRSV in porcine AMs. They underscore the importance of host factors, such as sanitary status, in modulating viral propagation and disease outcomes. Our co-culture experiments demonstrated that swIAV inhibits PRRSV replication more effectively in the presence of respiratory tracheal epithelial cells, suggesting a synergistic antiviral response between AMs and epithelial cells, consistent with in vivo experiments. This justifies further investigation into viral interactions and the role of the respiratory innate immune memory.
Subdivision category areas

This dataset contains subdivision categories that apply to these single family zones, namely RS-1, RS-3, RS-3A, RS-5, and RS-6 zoning districts. Subdivision is the division of land into two or more parcels. It can also include a plan to consolidate two or more parcels into a single site, the adjustment of an existing property line, the dedication of land for road or lane purposes, and volumetric subdivisions to create air space parcels Vancouver City Council approves the bylaws that regulate subdivision of land in Vancouver. The Subdivision Bylaw regulates the width, area and configuration of the proposed parcels. This is to ensure that subsequent development can occur compatibly with that of surrounding parcels. The Subdivision Bylaw also sets standards for services required for a parcel of land, including the layout, design of streets and lanes, water supply, sanitary and storm sewerage systems and other utility services. Size categories for minimum width and area for most zoning districts in the City are listed in Tables 1 and 2 of Schedule A of Subdivision Bylaw (No. 5208). In addition, there are seven categories of minimum parcel width and area for subdivisions that apply specifically to the RS-1, RS-3, RS-3A, RS-5, and RS-6 Zoning Districts. Categories range from 30 feet in width and 3,000 square feet in area, up to 150 feet in width and 18,000 square feet in area, and can vary on a block to block basis. The differing requirements for these areas are identified by the displayed categories. ### Data currency The extract for this dataset is updated weekly. There may be no change in data content from one week to the next because there is no change in source data. Priorities and resources will also determine how fast a change in reality is reflected in the database. ### Data accuracy These areas generally follow street centrelines and should therefore be accurate for determining whether a parcel is impacted. ### Websites for further information * [Subdividing, strata, addressing and street changes] * [Subdivision Bylaw 5208]
Abundance data of large microzooplankton collected during the ABRACOS 1 and 2 surveys performed along the northeast Brazilian continental shelf, slope and open ocean

[Lien vers la fiche source] Abundance data (individuals.m-3) of large microzooplankton assemblages collected during two “Acoustics along the Brazilian coast” surveys (ABRACOS 1 and ABRACOS 2) performed along the northeast Brazilian continental shelf and slope between 5 and 9° S and around oceanic seamounts and islands from Fernando de Noronha ridge, including the Fernando de Noronha Archipelago itself and the Rocas Atoll. The surveys were carried out on board the French oceanographic vessel R/V Antea in austral spring (September–October 2015) and autumn (April–May 2017). Planktonic cnidarians were sorted from zooplankton samples collected at 34 and 45 stations in spring and autumn, respectively. Samples were collected through oblique hauls, with a Bongo net with a 64 µm mesh size and 0.3 m mouth opening. The water column was sampled from near the bottom to the surface over the continental shelf and from 200 m to the surface in the offshore. The net was towed at approximately 2 knots, at various times of day and night.
Oceanographic data collection of the Monaco Exploration Indian Ocean cruise

[Lien vers la fiche source] Two quality controlled datasets here archived were collected during the oceanographic cruise MEIO that held in October-November 2022 over the South Western Indian Ocean, onboard S.A. Agulhas II. The first dataset is composed of continuous vertical profiles of the 12 oceanographic stations. The profiles have a resolution of 1dbar. The parameters reported in this data set are: pressure (in dbar), in-situ temperature (in °C), practical salinity, dissolved oxygen concentration (in µmol/kg), fluorescence of calibrated chlorophyll-a fluorescence (in µg/L), nitrate concentration (in µmol/kg) and particle attenuation @660nm (in 1/m). The second dataset is composed of discrete samples collected during the 12 stations. The parameters are the sensors measurements of every samples, dissolved oxygen concentration measured by the Winkler method (in µmol/kg), practical salinity measured by Autosal, concentration of silicate (in µmol/kg), concentration of phosphate (in µmol/kg) , concentration of nitrite (in µmol/kg), concentration of nitrate (in µmol/kg), concentration of pigments (processed by HPLC). These datasets aim to contribute to the extension of the One-Argo programme in the southwestern area of the Indian Ocean through the deployment of a significant number of floats; and to collect reference measurements through a multi-instrumented CTD rosette, allowing in particular to calibrate the robots’ sensors, just before their deployment. The two datasets were collected in concomitancy with the deployment of 29 One-Argo floats (WMO numbers : 5906536, 6903149, 4902620, 6903088, 6903148, 6990505, 5906970, 7901013, 4902626, 6903150, 5906972, 6903031, 5906540, 5906969, 4902623, 6990503, 3902471, 5906539, 6990504, 1902572, 5906537, 4902628, 7901003, 3902472, 6903033, 5906538, 1902573, 6903084, 5906971).
PAGURE example dataset from data acquisition to the computation of Essential Biodiversity Variables and Essential Ocean Variables

[Lien vers la fiche source] This folder contains two examples of PAGURE datasets, corresponding to three surveys: -CGFS conducted in 2018 in the English Channel (Northeast Atlantic) -EPIBENGOL conducted in 2019 in the Gulf of Lion (Western Mediterranean) -EVHOE conducted in 2020 in the Bay of Biscay and Celtic Shelf (Northeast Atlantic) Files include metadata for the sampling stations, annotation files. A readme tex file contains the links to the voyage metadata This folder is aimed at providing an example of documented underwater imagery dataset. These data are part of the data exchange conducted in the QuatreA collaboration between the French Research Institute for the Exploitation of the Sea (Ifremer), the Commonwealth Scientific and Industrial Research Organisation (CSIRO), and the University of Tasmania (UTAS).
EMSO-Ligure Ouest observatory data (BJS_BathyFamily) from 2023-09

[Lien vers la fiche source] EMSO-LO (European Multidisciplinary See floor Observatory and water column, Western Ligurian Site) is a second generation permanent submarine observatory deployed offshore of Toulon, France. This submarine network is part of the LSPM (Laboratoire Sous-Marin Provence Méditerannée, https://www.cppm.in2p3.fr/web/fr/LSPM/index.html), close to a neutrino telescope KM3NeT (https://www.km3net.org/) which has a modular topology designed to connect up to 120 neutrino detection units. The Earth and Sea Science (ESS) instrumentation connected to KM3NeT is based on two complementary components: an Instrumented Interface Module (MII), an autonomous mooring line (ALBATROSS) and a Scientific Junction Box (BJS, developed by Ifremer). On the ocean floor, instruments and plateforms can be connected to the BJS whose role is to supply energy and internet connection to the instruments of the site. Among the most relevant novelties, BathyBot is an underwater robot that joined the observatory site for several years, and deployed from a structure called BathyDock. BathyBot - A benthic robot to see the invisible in the depths of the Mediterranean Sea is a remotely-operated, cabled exploration robot. It is dedicated to long-term monitoring of deep-sea environmental variables (oxygen, temperature, salinity, pressure, current - the fluorimeter data flux is available through the aquadopp data flux) as well as biology, thanks to two different cameras (images available through a citizen science project https://ocean-spy.ifremer.fr/mediterranean-spy/), various colored LEDs and a proximity imaging system (UVP-6, data available at http://ecotaxa.obs-vlfr.fr/). In particular, BathyBot will enable to see the bioluminescence emitted by marine organisms and better understand its ecological role.
Map of Chlorophyll a concentrations trend between 1998 and 2019 in the Gulf of Biscay

[Lien vers la fiche source] For the 21 years of the study, an examination of trends in chlorophyll concentration revealed a general decline throughout the Gulf over the production period. These trends, extracted from dynamic linear model, also allowed this decline to be quantified. Expressed as a percentage, a large part of the area below the 50 m bathymetric line showed a decrease of at least 10% over the period, corresponding to a value of at least 0.1 µg.l-1. However, the spatial distribution reveals some more local phenomena. In southern Brittany, from Quimper to Vannes, a particular feature appears, with an upward trend over several kilometres along the coast, followed by a pronounced gradient along the coast. This gradient includes a zone where a continuous monotonic increasing trend is observed, then a zone where the trend becomes not significant and finally, about 15 km from the coast, a new zone where a significant continuous monotonic decreasing trend is observed. The increase in chlorophyll a concentration in the very coastal part is greater than 0.1 µg.l-1 over the period. Another peculiarity concerns the central part, located at the edge of the plateau at Cap Ferrat and Pente Aquitaine, where an increase in chlorophyll a was observed, but the variations remained small, being less than 0.1 µg.l-1. About a hundred kilometres south-west of Saint Nazaire, an area of about 40 by 50 km shows a decrease in chlorophyll a of more than 20%, quantified as more than 0.1 µg.l-1 over the period.
Flood Monitoring Realtime

This dataset represents real-time data from flood sensors installed across selected areas of Bayside Council. About the Sensors. These sensors measure and promptly alert authorities to water levels detected on roads, facilitating a proactive response to flash flooding. They operate by emitting and receiving pulses to gauge water levels relative to the road surface. Dataset measurements includes: * Raw distance = hight of the sensor above road level * Local Time = time of reading * Water level = water level above road level
Flood Monitoring Historical

This dataset represents the historical data from flood sensors installed across selected areas of Bayside Council. About the Sensors. These sensors measure and promptly alert authorities to water levels detected on roads, facilitating a proactive response to flash flooding. They operate by emitting and receiving pulses to gauge water levels relative to the road surface. Dataset measurements includes: * Raw distance = hight of the sensor above road level * Local Time = time of reading * Water level = water level above road level
Très Haut Débit : Calendrier de déploiement des prises par commune en mai 2024

La convention de délégation de service public relative à la conception, construction, exploitation du réseau de communications électroniques très haut débit (FTTH) a été signée avec la société SFR Collectivités (puis SFR FTTH, nommée aujourd’hui XpFibre) le 16 octobre 2018, pour une durée de 30 ans. La filiale dédiée a été créée sous le nom de Corsica Fibra. Le tableau joint présente le calendrier de déploiement par communes. Il expose pour chaque commune un état du déploiement arrêté au 1^{er}mai 2024.