AndreaBozzo/ceres-open-data-index huggingface dataset:
Prices of foods consumed in Martinique : a dataset to explore the cost of diet in the French West Indies

[Lien vers la fiche source] This dataset contains price estimates (in €/kg) of 1357 foods consumed in Martinique, allowing to explore the cost of diet in the French West Indies. The prices of 10820 food products were collected in June 2019 from the website of a supermarket located in Martinique and matched with 1357 food items declared to be consumed by adults of the [Kannari survey] ("Health, Nutrition and Exposition to Chlordecone in French West Indies” conducted in Martinique and Guadeloupe in 2013-2014) in order to estimate a mean, median, minimum and maximum price for the 1357 food items. This dataset was created in 2019 as part of the NuTWInd research project (Nutrition Transition in the French West Indies, [https://www6.inrae.fr/nutwind]) funded by the French Research Agency. A form must be sent to marlene.perignon@inrae.fr to access the data. [Download the form ] The authors reserve the right to grant or deny access to the dataset after reviewing the form. The use of the dataset is subject to a confidentiality agreement. ******************* Ce dataset fournit des estimations de prix (en €/kg) de 1357 aliments consommés en Martinique et permet d'étudier le coût de l'alimentation dans les Antilles Françaises. Les prix de 10820 produits alimentaires ont été collectés en juin 2019 à partir du site internet d'un supermarché basé en Martinique, et appariés avec une liste de 1357 aliments déclarés comme consommés par les adultes participant à l'[enquête Kannari] ("Santé, nutrition et exposition au chlordécone aux Antilles » réalisée en Martinique et Guadeloupe en 2013-2014) afin de pouvoir estimer un prix moyen, médian, minimal et maximal pour ces 1357 aliments. Cette base de données a été créée en 2019 dans le cadre du projet de recherche NuTWInd (Transition Nutritionnelle aux Antilles françaises : Interactions entre offre et comportements alimentaires, [https://www6.inrae.fr/nutwind]) financé par l’Agence Nationale de la Recherche. L'envoi d'un formulaire à marlene.perignon@inrae.fr est nécessaire pour accéder aux données. [Télécharger le formulaire ] Les auteurs se réservent le droit d’autoriser ou refuser l’accès aux données après examen du formulaire. L’utilisation des données est soumise à un accord de confidentialité.
Circonscriptions électorales législatives du département de la Haute-Garonne

Ce jeu de données propose les périmètres géographiques des [dix circonscriptions électorales législatives] du département de la Haute-Garonne. Lors des élections législatives, les électeurs désignent les députés qui siègent à l'Assemblée nationale. En 2022 les élections législatives sont organisées les 12 et 19 juin, soit deux mois après l’élection présidentielle. En savoir plus : [Circonscriptions électorales françaises (Wikipédia).] [Elections législatives de 2022 en Haute-Garonne][ (Wikipédia).] [Législatives 2022 : l'essentiel en questions-réponses (Vie Publique).]
Installed Renewable Energy Capacity

IRENA Copyright Info: Material in this publication may be freely used, shared, copied, reproduced, printed and/or stored, provided that all such material is clearly attributed to IRENA and bears a notation that it is subject to copyright (© IRENA 2019). Material contained in this publication attributed to third parties may be subject to third-party copy-right and separate terms of use and restrictions, including restrictions in relation to any commercial use. This publication should be cited as: IRENA (2019), 'Renewable Energy Market Analysis: The GCC Region'. IRENA, Abu Dhabi. Installed Renewable Energy Capacity in GCC Counties, as of 2018 as reported by IRENA (2019): 'Renewable Energy Market Analysis, The GCC region' IRENA AbuDubai Note: Oman's 7 MWth enhanced oil recovery plant is not included because this table addresses only electricity. Source: IRENA Renewable Energy Statistics; (REN21, MOFA and IRENA, 2013); (RCREEE, 2015b)
Electricity Grid Generation Load

This dataset contains information about China's Electricity Grid Generation Load for 2010-2018. Data from Power Knowledge Thinker. Notes: Northeast:Northeast Electric Power Dispatching and Communication Center Fujian:Fujian Electric Power Dispatching and Communication Center NEPDCC:National Electric Power Dispatching and Communication Center North China:North China Electric Power Dispatching and Communication Center East China:East China Electric Power Dispatching and Communication Center Central China:Central China Electric Power Dispatching and Communication Center Southern:China Southern Power Grid Power Dispatching and Communication Center Northwest:Northwest Electric Power Dispatching and Communication Center Tibet:Tibet Electric Power Dispatching and Communication Center Southwest:Southwest Electric Power Dispatching and Communication Center Xinjiang:Xinjiang Electric Power Dispatching and Communication Center Note: The data in this table is taken from electricity production's ten-day report of National Electric Power Dispatching and Communication Center.
Coal Production in Mtoe

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── * Commercial solid fuels only, i.e. bituminous coal and anthracite (hard coal), and lignite and brown (sub-bituminous) coal, and other commercial solid fuels. Includes coal produced for Coal-to-Liquids and Coal-to-Gas transformations. ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── ^ Less than 0.05. ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── w Less than 0.05%. ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── n/a not available. ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── # Excludes Estonia, Latvia and Lithuania prior to 1985 and Slovenia prior to 1990. ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Notes: Annual changes and shares of total are calculated using million tonnes oil equivalent figures. ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Growth rates are adjusted for growth rates ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Wind Consumption in Mtoe

This dataset contains information about world's wind consumption from 1965. Data from BP. Notes: * Based on gross generation and not accounting for cross-border electricity supply. Converted on the basis of thermal equivalence assuming 38% conversion efficiency in a modern thermal power station. ^ Less than 0.05. ♦ Less than 0.05%. n/a not available. # Excludes Estonia, Latvia and Lithuania prior to 1985 and Slovenia prior to 1990. Annual changes and share of total are calculated using million tonnes oil equivalent figures. Growth rates are adjusted for leap years.
Solar Consumption in Mtoe

This dataset contains information about world's solar consumption from 1965. Data from BP. Notes: * Based on gross generation and not accounting for cross-border electricity supply. Converted on the basis of thermal equivalence assuming 38% conversion efficiency in a modern thermal power station. ^ Less than 0.05. ♦ Less than 0.05%. # Excludes Estonia, Latvia and Lithuania prior to 1985 and Slovenia prior to 1990. Annual changes and share of total are calculated using million tonnes oil equivalent figures. Growth rates are adjusted for leap years.
Production of Petroleum Products(Calendar Year-wise)

This dataset contains India Production of Petroleum Products(Calendar Year-wise) for 2010-2017 Data from Ministry of Petroleum and Natural Gas. Follow [datasource.kapsarc.org] for timely data to advance energy economics research. *in the year column P: Provisional *unit (in TMT) *Others include VGO, Benzene, MTO, CBFS, Sulphur, LSHS, Waxes, MTBE & Reformate, etc. *Total may not tally due to rounding off.
Energy Sales (GWh)

This dataset contains Saudi Arabia total Energy sales for 1990- 2019. Data from Electricity and Cogeneration Regulatory Authority. Follow datasource.kapsarc.org for timely data to advance energy economics research. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link]
Energy Sales Gross Rate

This dataset contains Saudi Arabia Energy Sales Gross Rate for 1990- 2019. Data from Electricity and Cogeneration Regulatory Authority. Follow datasource.kapsarc.org for timely data to advance energy economics research. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link]
Electricity Peak Load Gross Rate

This dataset contains Electricity Peak Load Gross Rate for 1990-2019. Data from Electricity and Cogeneration Regulatory Authority. Follow datasource.[kapsarc].org for timely data to advance energy economics research. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link]
Electricity - Number of Customers

This dataset contains Electricity - Number of Customers for 1990-2019. Data from Electricity and Cogeneration Regulatory Authority. Follow datasource.[kapsarc].org for timely data to advance energy economics research. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link]
Electricity Customers Gross Rate

This dataset contains Electricity Customers Gross Rate for 1990-2019. Data from Electricity and Cogeneration Regulatory Authority. Follow datasource.[kapsarc].org for timely data to advance energy economics research. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link]
Electricity Consumption per Customer

This dataset contains Electricity Consumption per Customer for 1990-2020. Data from Electricity and Cogeneration Regulatory Authority. Follow datasource.[kapsarc].org for timely data to advance energy economics research. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link]
Energy Consumption and Number of Customers by Region

This dataset contains Saudi Arabia Energy sales and number of consumers by region for (SEC - MARAFIQ) Co. for 2005 - 2019. Data from Electricity and Cogeneration Regulatory Authority. Follow datasource.kapsarc.org for timely data to advance energy economics research. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link] note: MARAFIQ 2019 Data is not published yet.
Energy Consumption and Number of Customers by Sector-(Category)

This dataset contains Saudi Arabia Energy consumption and number of consumers by sector for (SEC - MARAFIQ) Co. for 2005 - 2019. Data from Electricity and Cogeneration Regulatory Authority. Follow datasource.kapsarc.org for timely data to advance energy economics research. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link] Note: MARAFIQ Data last publish in 2018
Uranium Identified Resources (in situ)

[Uranium 2020: Resources, Production and Demand] Table 1.2b. Identified resources (in situ)** (as of 1 January 2019, tonnes U, rounded to nearest 100 tonnes) * Secretariat estimate. (a) Not reported in 2019 responses, data from previous Red Book. (b) Assessment partially made within the last five years. (c) Assessment not made within the last five years. (d) Recoverable resources were adjusted by the Secretariat to estimate in situ resources using recovery factors provided by countries or estimated by the Secretariat according to the expected production method (Appendix 3). (e) Cost data not provided, therefore resources are reported in the <USD 260/kgU category. (f) Recovery factor change from previous report. (g) Totals related to cost ranges <USD 40/kgU and <USD 80/kgU should be regarded with some caution since certain countries do not report low-cost resource estimates, mainly for reasons of confidentiality, whereas other countries that have never, or not recently hosted uranium mining, may be underestimating mining costs.
Transmission Substation by Years

─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── This dataset contains Transmission Substation by Years for 2007 -2019. Data from Electricity and Cogeneration Regulatory Authority. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link] Follow datasource.kapsarc.org for timely data to advance energy economics research. ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Distribution of Generation Capacities

This dataset contains Distribution of Generation Capacities for 2006-2017. Data from Electricity and Cogeneration Regulatory Authority. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link] Follow datasource.kapsarc.org for timely data to advance energy economics research.
Number of Passenger and Freight Vehicles

This dataset contains road data for the Number of Passenger and Freight Vehicles by Type of Vehicles. Data gathered by KAPSARC. Follow datasource.kapsarc.org for timely data to advance energy economics research. Sources of Data: - https://datasource.kapsarc.org/explore/dataset/saudi-arabia-car-plates-issued-in-the-kingdom-by-type-2004-2008/information/?disjunctive.type - https://youtu.be/CHPnGEE-fG4
Summary of Cargo Throughput in Major Ports

This dataset contains Summary Of Cargo Throughput For Major Ports for 2005-2019. Data from Mawani Saudi Ports Authority. Follow [datasource.kapsarc.org] for timely data to advance energy economics research. Notes: (* Includes: Sugar, Iron Ore, Coal, Cement, Urea, Suplate). (** Includes: Vegetable Oils, Animal Oils, Refined Oil Products, Liquid Petrochemical Products, Liquefied Natural Gas).
Energy Exchanges on the GCCIA Interconnector

This dataset contains Energy Exchanges on the GCCIA Interconnector for 2010-2019. Data collected from The GCC Interconnection Authority. Notes: - Data for unscheduled energy and scheduled compensation are unavailable for the years 2017-2019. - Unscheduled energy is either compensated in kind or in cash. - Scheduled compensation refers to the energy scheduled to compensate, in kind, for network losses and any unscheduled energy use. - Traded energy refers to the scheduled exchange (import or export) between member countries based on bilateral agreements.
India Consumption of Petroleum Products

This dataset contains India consumption of petroleum products from 2000-2021. Data from Ministry of Petroleum & Natural Gas, Government of India. NOTES: i) All figures are provisional. ii) The source of information includes Oil Companies, DGCIS & online SEZ data. iii) The consumption estimates represent market demand and is aggregate of : (a) actual sales by oil companies in domestic market. (b) consumption through direct imports by private parties. (Private direct imports are prorated for Jul-Nov 2020, which may undergo change on receipt of actual data). (c) sales by SEZ units in Domestic Tariff Area (DTA).
India Natural Gas Consumption

This dataset contains India natural gas consumption from 2011-2021. Data from Ministry of Petroleum & Natural Gas, Government of India. Notes: - This data is based on financial year (April-March). - Natural Gas Consumption (including internal consumption). * Provisional Notes: - Net production for consumption, which is derived by deducting gas flared and loss from gross production by producing companies. - Sources: ONGC, OIL, DGH, LNG importing companies & DGCIS.
Car Plates Issued in the Kingdom By Type

This dataset contains Car Plates Issued in the Kingdom By Type from 1997-2017. Note: We sum up the plates issues (new vehicles) for one lifetime's worth of vehicles. Prior to year 2017 (back to 1997 at the earliest) to get the number in 2017. (We don't include the plates issued in 2017 itself, which appears to be an outlier in this data set.)
Daily Change in Routing Requests Submitted to Apple Maps and The Number of Confirmed COVID-19 Cases for Saudi Arabia and Spain

Sources: Johns Hopkins University. 2020. “Mapping 2018-nCoV.” January 23. [https://systems.jhu.edu/research/public-health/ncov/]) Apple. 2020. “Mobility Trends Reports.” [https://www.apple.com/covid19/mobility]
Total Electricity Sale From Ecra

This dataset contains information about Saudi Arabia's Total Electricity Sale for 1990-2019. Data is from Electricity and Cogeneration Regulatory Authority. The Electricity and Cogeneration Regulatory Authority (ECRA) website has changed to Water & Electricity Regulatory Authority (WERA). This dataset was extracted from ECRA’s website and has been discontinued, to access WERA’s datasets please find the following [link] Follow datasource.[kapsarc].org for timely data to advance energy economics research.
Production d'électricité par filière en temps réel (EDF) en Guadeloupe

Le mix électrique de la Guadeloupe est publié en temps réel (mise à jour toutes les heures) grâce aux données issues de télémesures et d’estimations. Ces informations sont estimées, fournies à titre indicatif et seront consolidées chaque mois à partir des données de comptage (voir le jeu de données "Production d'électricité par filière")
Parcours de randonnées - Communauté de communes du Grand Pic Saint Loup

Pour vous permettre de découvrir les nombreuses richesses du Grand Pic Saint-Loup, la Communauté de communes propose plusieurs sentiers de randonnée agréés par la Fédération française de Randonnée pédestre (balisage jaune norme « promenade et randonnée ») et le GR® de Pays Tours dans le Grand Pic Saint-Loup. En plus de la balade sportive, les sentiers proposés sont l’occasion de découvrir le patrimoine naturel de notre territoire, son histoire du néolithique à nos jours, et ses innombrables saveurs. Pour tous les goûts et toutes les ardeurs ! Chacun de ces circuits fait l’objet d’une Fiche Rando Hérault éditée avec la collaboration du Comité Départemental de Randonnée Pédestre. Vous pourrez retrouver ces plaquettes dans les boutiques des points d’information touristiques du Grand Pic Saint-Loup ou en téléchargement ci-dessous. En savoir + : [https://grandpicsaintloup.fr/vivre-ici/sports-et-loisirs/randonnee/] [https://picarto.fr/public] contact : [opendata@ccgpsl.fr]
Œnorando® en Grand Pic saint-Loup

La Communauté de communes a inauguré sa première Œnorando® : « Entre Grès de Montpellier et Pic Saint-Loup », au départ d’Assas. Un parcours sportif et gourmand au cœur de 2 appellations-phares du territoire : l’AOC Languedoc-Grès de Montpellier, façonnée par son terroir, et l’AOP Pic Saint-Loup, et sa force de caractère. Le parcours, de niveau moyen, est une boucle qui prend son départ à la cave coopérative d’Assas, s’étend sur 15 kilomètres et s’effectue sur une durée d’environ 4 heures. En savoir + : [https://grandpicsaintloup.fr/actualite/oenorando-la-communaute-de-communes-inaugure-son-1er-circuit/] [https://picarto.fr/public] contact : [opendata@ccgpsl.fr]
Installations de regroupement et de traitement de l'amiante en Pays de la Loire

Ce jeu de données correspond à la liste des installations de regroupement et de traitement des déchets d'amiante. Cette liste ne comprend pas les déchèteries publiques et privées qui acceptent l'amiante. Cette liste a été constituée en Mai 2024 à partir des données déclarées sous GEREP en 2022 par les exploitants. . Glossaire : ISDD : Installation de Stockage des Déchets Dangereux ISDND : Installation de Stockage des Déchets Non Dangereux
GRP® Tours dans le Grand Pic Saint-Loup

Le sentier de grande randonnée de pays (GR® Pays) « Tours dans le Grand Pic Saint-Loup », initié par la Communauté de communes, est accessible tout au long de l’année. Composé de quatre boucles de sentiers balisés, il parcourt les sites, villages et paysages remarquables du territoire, avec toujours avec la silhouette majestueuse du Pic Saint-Loup en toile de fond. Les boucles passent toutes par Saint-Martin-de-Londres et ont des tronçons en commun, ce qui permet au randonneur de les combiner facilement pour créer un itinéraire à la carte, adapté à la durée de son séjour, avec des niveaux de difficulté et des points d’intérêt différents. Ainsi, le circuit est déclinable en séjours de 3 à 10 jours. Avec son balisage homologué jaune et rouge, il fait le lien avec plusieurs des sentiers “promenade et randonnée” à la journée existants sur le territoire, mais aussi avec les GR 60 (L’Espérou – Saint-Mathieu-de-Tréviers) et 74 (Saint-Maurice-de-Navacelles – Saint-Privat) pour prolonger l’aventure. En savoir + : [https://grandpicsaintloup.fr/vivre-ici/sports-et-loisirs/randonnee/] [https://picarto.fr/public] contact : [opendata@ccgpsl.fr]