AndreaBozzo/ceres-open-data-index huggingface dataset:
Ecological impacts of alien species in Reunion Island: a standardised dataset using the Environmental Impact Classification of Alien Taxa framework

[Lien vers la fiche source] The dataset provides the first standardised and comprehensive assessment of the ecological impacts of 50 alien plant species introduced to Reunion Island, using the Environmental Impact Classification of Alien Taxa framework (EICAT). The impact records of these 50 alien species were compiled through systematic literature searches. Therefore, this dataset provides a transparent and reproducible baseline for understanding the magnitudes, mechanisms, and confidence of reported impacts of alien species. It can be used to support the prioritisation of invasive alien species based on the magnitude of their ecological impact, and thereby guide management, conservation and restoration actions. Moreover, when combining with species distribution data, impacts can be spatialised into risk maps to prioritise sites at high risk of impact. This risk maps can then guide management interventions in protected of high-level biodiversity sites. The dataset is described in the data paper Boulesnane-Guengant (in prep) "Ecological impacts of alien species in Reunion Island: a standardised dataset using the Environmental Impact Classification of Alien Taxa framework".
Money Supply

Explore the weekly money supply dataset for Saudi Arabia, including components such as M1, M2, M3, demand deposits, time deposits, and more. Stay updated on the SAMA weekly changes and period changes. M1, Currency Outside Banks, Demand Deposits, M2, Time and Savings Deposits, M3, Other Quasi-Money, Weekly Change, Period Change, Money Supply, SAMA Weekly Saudi Arabia Follow [data.kapsarc.org] for timely data to advance energy economics research. Note: - M1 = Currency Outside Banks + Demand Deposits - M2 = M1 + Time and Savings Deposits - M3 = M2 + Other Quasi-Money - Weekly Change: Current week with the preceding one. - Period Change: Current week with the end of last year. M1 and M2 values are calculated by KAPSARC.
Production, Trade and Supply of Coal

This dataset contains the World's Production, Trade, and Supply of Coal for 1990-2024. Data from United Nations Statistics Division. Follow datasource.kapsarc.org for timely data to advance energy economics research. Notes: - Refer back to the original source for numbers estimated by the United Nations Statistics Division (numbers with * symbol). - Imports, Exports, and Changes in stocks refer to Coal Tar, Cooking Coal.
Production, Trade and Supply of Coke

This dataset contains Production, Trade, and Supply of Coke 1990-2024. Data from United Nations Statistics Division. Follow [datasource.kapsarc.org] for timely data to advance energy economics research. Notes: - Refer back to the original source for numbers estimated(..) by the United Nations Statistics Division. (numbers with * symbol) - Data comprise coal tar, gas coke, and coke oven coke.
Data Roadmap

Our Data Roadmap provides our current plan for our intended publications and work related to our Open Data Portal over the coming months. Please note the dates are indicative and could be subject to change. If you wish to see something added to our roadmap, please get in touch via the contact form at the bottom of our homepage. Related Feature Pages N/A Glossary of Terms Our [Glossary] dataset provides definitions for various terms and acronyms found throughout our data. If the term you are searching for isn't in our list, please let us know via our [Open Data team] and we will get it added! Data Governance If you wish to view the data triage document for any dataset, they can be found in our [Data Triage Assessment] dataset. This dataset does NOT require a login to view Any data caveats for the dataset are listed below - None
Hauptwohnbevölkerung nach Haushaltstypen in den Stadtbezirken 2022

Hauptwohnbevölkerung in Dortmund pro Stadtbezirk. Anzahl Personen nach Haushaltstypen zum 31.12.2022. Zur Sicherstellung der statistischen Geheimhaltung kommt das 5er-Rundungsverfahren zur Anwendung.
Temperature Change on Land

The FAOSTAT Temperature change on land domain disseminates statistics of mean surface temperature change by country, with annual updates. The current dissemination covers the period 1961–2024. Statistics are available for monthly, seasonal and annual mean temperature anomalies, i.e., temperature change with respect to a baseline climatology, corresponding to the period 1951–1980. The standard deviation of the temperature change of the baseline methodology is also available. Data are based on the publicly available GISTEMP data, the Global Surface Temperature Change data distributed by the National Aeronautics and Space Administration Goddard Institute for Space Studies (NASA-GISS).
Emissions From Pre and Post Agricultural Production

The FAOSTAT domain “Pre- and Post-Production” (PPP) includes the greenhouse gas (GHG) emissions, and related activity data, generated from pre- and post-agriculture production stages of the agri-food systems. Data are computed following the Tier 1 methods of the Intergovernmental Panel on Climate Change (IPCC) Guidelines for National greenhouse gas (GHG) Inventories (IPCC, 1996; 1997; 2000; 2002; 2006; 2014). The domain includes methane (CH4), nitrous oxide (N2O), carbon dioxide (CO2) and CO2 equivalent (CO2eq) emissions from the above activities as well as the aggregate fluorinated gases (F-gases) emissions. Estimates are available by country, with global coverage for the period 1990–2020. The database is updated annually.The FAOSTAT domain disseminates information estimates of CH4, N2O, CO2 emissions, F-gases, their aggregates in CO2eq in units of kilotonnes (kt, or 106 kg), and the underlying activity data. CO2eq emissions are computed by using the IPCC Fifth Assessment report global warming potentials, AR5 (IPCC, 2014). Data are available for most countries and territories, for standard FAOSTAT regional aggregations, and for Annex I and non-Annex I country groups.
Emissions From Drained Organic Soils

The FAOSTAT domain Drained organic soils consists of nitrous oxide (N2O) and carbon dioxide (CO2) emissions associated with the mineralization and oxidation of the organic matter in organic soils that are drained for agriculture (cropland and grassland). Data are computed geospatially, using the Tier 1 method of the IPCC Guidelines for National greenhouse gas Inventories (IPCC, 2006; 2014) and using the distribution of histosols as a proxy for organic soils. Estimates are available by country and with global coverage, in complete time series for the period 1990–2020. The database is updated annually. The FAOSTAT domain Organic soils disseminates information by country on: activity data (in hectares of organic soils drained for agriculture); and greenhouse gas (GHG) emissions (in kilotonnes of N2O and CO2). Drainage and associated emissions are assessed separately for IPCC land use categories cropland and grassland, corresponding to FAO land use categories ‘’cropland’’ and ‘’permanent meadows and pastures.’’ Data are available for all countries and territories, for standard FAOSTAT regional aggregations, and for Annex I and non-Annex I country groups. This FAOSTAT domain also disseminates the activity data and emissions data reported by countries to the United Nations Framework Convention on Climate Change (UNFCCC), under ‘Cultivation of organic soils’ for the N2O component and categories ‘Cropland drained organic soils’ and ‘Grassland drained organic soils’ for the CO2. Activity data are sourced from the most recently available GHG National Inventories (NGHGI) or from National Communications. Emission data are sourced directly from the UNFCCC data portal or from Biennial Update Reports (BURs). UNFCCC data are disseminated in FAOSTAT with permission, formalized via a FAO-UNFCCC Memorandum of Understanding.
GHG Emissions Covered By ETSs and Carbon Taxes

This dataset shows the greenhouse gas covered by carbon pricing initiatives. In 2025, these initiatives would cover 14.7 GtCO2e, representing 28% of global GHG emissions. Note: Carbon pricing initiatives are considered "scheduled for implementation" once they have been formally adopted through legislation and have an official, planned start date. Carbon pricing initiatives are considered “under consideration” if the government has announced its intention to work towards the implementation of a carbon pricing initiative and this has been formally confirmed by official government sources. Jurisdictions that only mention carbon pricing in their NDCs are not included as different interpretations of the NDC text are possible. Carbon pricing initiatives have been classified as ETSs and carbon taxes according to how they operate technically; local terminology may vary. ETS does not only refer to cap-and-trade systems, but also baseline-and-credit systems such as in British Columbia. However, systems operating like a baseline-and-offsets program, such as Australia Safeguard Mechanism, fall outside the scope of the definition of ETS. Carbon pricing has evolved over the years and initiatives do not necessarily follow the two categories in a strict sense. Due to the dynamic approach to continuously improve data quality, changes to the map do not only reflect new developments, but also corrections following new information from official government sources.
Nombre de votants au budget participatif

Depuis 2014, le Budget Participatif est un dispositif de participation citoyenne qui invite les Parisiennes et Parisiens à proposer à la Ville de Paris des idées d'intérêt général. Il permet de décider directement d’une partie des investissements qui seront réalisés : ce sont les habitantes et habitants (à partir de 7 ans et sans condition de nationalité) qui choisissent par leur vote les projets qui seront mis en œuvre. Pour plus d'informations : Le site de la Participation citoyenne [Décider pour Paris] Le mode d’emploi du [Budget Participatif]
Saudi Arabia Coronavirus disease (COVID-19) situation

Explore the latest data on the COVID-19 situation in Saudi Arabia with this comprehensive dataset. Stay informed and make data-driven decisions during the pandemic. COVID-19 Saudi Arabia Follow [data.kapsarc.org] for timely data to advance energy economics research. COVID-19 situation in Saudi Arabia collected from MOH daily reports [https://covid19.moh.gov.sa/] Related publications: Â·[The Fiscal Response to COVID-19 in Saudi Arabia] Â· [Saudi Arabiaâs CO2 Emissions Steady in 2019 Ahead of Expected 2020 Fall Due to COVID-19] Â·[Social Distancing: The Impact of COVID-19 on Mobility in Saudi Arabia] Â·[Impact of the COVID-19 Lockdown on Electricity Demand: Global Insights and Implications for Saudi Arabia] Â· [Estimating the Impact of the COVID-19 Pandemic on Saudi GDP] Â·[Long and Short-Term Economic Impact of COVID-19: Does the Future Look Greener?] Â·[The Role of the Petrochemical Sector in the COVID-19 Pandemic] Â·[COVID-19 and Employment in Saudi Arabia: An Initial Assessment] Â·[The Impact of COVID-19 on Transport and Gasoline Demand]
Government-administrated carbon crediting mechanisms

This dataset shows regional, national and subnational carbon crediting mechanisms issued carbon credits that can be used under mandatory carbon pricing initiatives. Note: Crediting mechanisms are considered implemented if they have issued credits (or have frameworks in place to allow credits to be used domestically, such as in South Africa). Crediting mechanisms are considered to be under development if a framework is in place, but the carbon credit system is not yet operational. Due to the dynamic approach to continuously improve data quality, changes to the map do not only reflect new developments, but also corrections following new information from official government sources. The world map excludes data from international (CDM and JI, as indicated by the UNFCCC logo) and independent (ACR, CAR, Gold Standard, VCR) crediting mechanisms. Data from these crediting mechanisms can be viewed by using the table tap. International crediting mechanisms are those governed by international climate treaties and are usually administered by international institutions. Independent crediting mechanisms are mechanisms not governed by any national regulation or international treaties. They are administered by private and independent third-party organizations, which are often nongovernmental organizations.
Warming projections based on pledges and current policies

This data visualizes the Climate Action Tracker (CAT) expected warming degrees based on pledges and current policies. CAT is a science-based project that tracks government climate action and measures it against the globally agreed Paris Agreement aim of "holding warming well below 2°C, and pursuing efforts to limit warming to 1.5°C. CAT monitors what governments are doing to reduce climate change. It compares their actions to the goals of the Paris Agreement, which aims to limit global warming to well below 2 degrees Celsius. The temperatures shown are mid-point estimates (medians) of what the Earth's temperature could be in 2100, based on current government pledges and policies (NDCs). There's a 50% chance the actual temperature could be higher if these actions are followed. The CAT uses a climate model called MAGICC7 to make these estimates. Data originally from Climate Action Tracker.
Emissions from Crops

────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Greenhouse gas (GHG) emissions from rice cultivation consist of methane gas from the anaerobic decomposition of organic matter in paddy fields. The FAOSTAT emissions database is computed following Tier 1 IPCC 2006 Guidelines for National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/2006gl/vol4.html) and the IPCC 2000 Good Practice Guidance and Uncertainty Management in National GHG Inventories (http://www.ipcc-nggip.iges.or.jp/public/gp/english/). GHG emissions are provided by country, regions and special groups, with global coverage, relative to the period 1961-present (with annual updates) and with projections for 2030 and 2050, expressed both as Gg CH4 and Gg CO2eq. Implied emission factor for CH4 and activity data are also provided. ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Utilization of Installed Electricity Capacity-by Type

This dataset contains Utilization of Installed Electricity Capacity-by type for 2012-2018. Data from United Nations Statistics Division. Follow [datasource.kapsarc.org] for timely data to advance energy economics research. Notes: Refer back to the original source for numbers estimated by the United Nations Statistics Division. (numbers with * symbol) Please refer to the Definitions Section on pages ix to xv for the appropriate product description/ classification, and xvi to xvii for the descriptions of relevant flows. - Other under total producers refer to geothermal, tide, wave, marine and other non-specified sources. - Other under autoproducers refers to nuclear (if any), wind, solar, tide, wave, marine, and other non-specified sources. - Other under main activity producers refer to wind, solar, tide, wave, marine and other non-specified sources - Numbers have been updated
Electricity Consumption

───────────────────────────────────────────────────────────────────────────────┬─┬─ * Source : Ministry of Water and Electricity. │ │ ───────────────────────────────────────────────────────────────────────────────┴─┴─ * * Not including energy purchased From Desalination plants and major producer. ───────────────────────────────────────────────────────────────────────────────
Global Emissions Based on Pledges and Current Policies

This data visualizes the Climate Action Tracker (CAT) expected absolute emissions in 2030 and compares these with emissions consistent with benchmark pathways in line with the 1.5°C Paris Agreement goal. CAT is a science-based project that tracks government climate action and measures it against the globally agreed Paris Agreement aim of "holding warming well below 2°C, and pursuing efforts to limit warming to 1.5°C. CAT monitors what governments are doing to reduce climate change. It compares their actions to the goals of the Paris Agreement, which aims to limit global warming to well below 2 degrees Celsius. Data originally from Climate Action Tracker.
Geothermal, Biomass and Other in Exajoules

This dataset contains information about the world's geothermal, biomass, and others from 1965. Data from BP. Follow [datasource.kapsarc.org] for timely data to advance energy economics research. 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 a million tonnes of oil equivalent figures. Growth rates are adjusted for leap years.
Canicules : Décès attribuables à la chaleur pendant l'été et pendant les vagues de chaleur (Région)

Nombre et fraction de décès toutes causes attribuables à la chaleur chaque année (tous âges et 75 ans et plus), pendant la période de surveillance (1^{er} Juin - 15 Septembre) et pendant les canicules. Des relations températures-mortalité ont été construites pour l’ensemble des départements hexagonaux sur la période 2014-2022. Ces relations sont utilisées pour calculer à l’échelle départementale, la fraction de décès toutes causes attribuables à la chaleur, sur la base des températures et de la mortalité observée. Les fractions de décès attribuables sont calculées comme le nombre de décès toutes causes attribuables à la chaleur rapporté au nombre de décès total pour une zone et une période donnée. Précautions d’interprétation : Les décès attribuables sont une estimation populationnelle sur la base d’associations épidémiologiques, elle n’est pas issue des causes identifiées sur les certificats de décès. Du fait d’arrondis les sommes agrégées à l’échelle géographique supérieure peuvent ne pas toujours être exactes. Pour aller plus loin : [Canicule et fortes chaleurs : prévenir les risques – Santé publique France] [Méthode de calcul des décès attribuables] Référence associée Pascal M, Wagner V, Lagarrigue R, Casamatta D, Pouey J, et al. A yearly measure of heat-related deaths in France, 2014–2023. Discover Public Health, 2024, 21 (1), pp.44. doi 10.1186/s12982-024-00164-3
Canicules : Décès attribuables à la chaleur pendant l'été et pendant les vagues de chaleur (France)

Nombre et fraction de décès toutes causes attribuables à la chaleur chaque année (tous âges et 75 ans et plus), pendant la période de surveillance (1^{er} Juin - 15 Septembre) et pendant les canicules. Des relations températures-mortalité ont été construites pour l’ensemble des départements hexagonaux sur la période 2014-2022. Ces relations sont utilisées pour calculer à l’échelle départementale, la fraction de décès toutes causes attribuables à la chaleur, sur la base des températures et de la mortalité observée. Les fractions de décès attribuables sont calculées comme le nombre de décès toutes causes attribuables à la chaleur rapporté au nombre de décès total pour une zone et une période donnée. Précautions d’interprétation : Les décès attribuables sont une estimation populationnelle sur la base d’associations épidémiologiques, elle n’est pas issue des causes identifiées sur les certificats de décès. Du fait d’arrondis les sommes agrégées à l’échelle géographique supérieure peuvent ne pas toujours être exactes. Pour aller plus loin : [Canicule et fortes chaleurs : prévenir les risques – Santé publique France] [Méthode de calcul des décès attribuables] Référence associée Pascal M, Wagner V, Lagarrigue R, Casamatta D, Pouey J, et al. A yearly measure of heat-related deaths in France, 2014–2023. Discover Public Health, 2024, 21 (1), pp.44. doi 10.1186/s12982-024-00164-3
Virginia SCC Transmission Line Projects

Construction and operation of transmission lines and/or facilities above 115 kV in Virginia usually require the issuance of a Certificate of Public Convenience and Necessity (CPCN) from the State Corporation Commission. Staff guidelines on transmission projects that require a CPCN, and Guidelines of Minimum Requirements for Transmission Line Applications, are available among our guidance documents. Information for all cases before the Commission is made available through the SCC's DocketSearch portal. Public comments related to Commission cases are accepted for a limited time. Cases for which comments are currently being accepted are listed on the Public Comments/Notices page.
Tuberculose : Données de la déclaration obligatoire (Région)

La surveillance de la tuberculose repose sur le dispositif de la déclaration obligatoire (DO) qui couvre cette pathologie. Les données portant sur les cas de tuberculose maladie et des issues de traitement sont recueillies dans le cadre de la DO, par un réseau d’acteurs incluant les médecins et biologistes déclarants, ainsi que les Centres de Lutte Antituberculeuse (CLAT), et validées par les Agences régionales de santé et Santé publique France via l'outil "e-DO tuberculose". Les indicateurs sont disponibles pour chaque année, à partir de l'année 2004. Les cas de tuberculose maladie comprennent les cas probables (présentant un tableau clinique et/ou radiologique compatible et qui ont été considérés et traités comme des tuberculoses par le médecin) et les cas confirmés biologiquement. Les issues de traitement sont estimées à 12 mois après le début du traitement et concernent les tuberculoses non-multirésistantes (non-MDR). Pour cet indicateur, un département sans données correspond à un département soit qui n’a notifié aucun cas de tuberculose, soit qu’il en a notifié mais dont l’issue de traitement n’est connue pour aucun d’entre eux. Précisions : - Le département correspond au département de déclaration de la tuberculose jusqu'en 2018 et au département de domicile du patient à partir de 2019. Mayotte, devenu département français d'outre-mer en 2011, est intégré aux données depuis cette année. - La DO de la tuberculose maladie date de 1964, celle des issues de traitement de 2007. Les indicateurs sont présentés à partir de 2009. Dénominateurs : Pour les calculs des taux de déclaration, le dénominateur correspond aux données d’estimations localisées de population (Insee) actualisées au 1er janvier de chaque année. A Mayotte, pour les années 2011-2013, les dénominateurs proviennent du recensement 2012. Pour en savoir plus : Les tendances épidémiologiques détaillées (classe d’âge, territoire, tuberculoses multi-résistantes, etc.) sont accessibles sur le site de Santé publique France : [https://www.santepubliquefrance.fr/tuberculose]