Many banks report and publish data of their environmental footprint and set targets to reduce their greenhouse gas (GHG) emissions. According to reporting of the largest banks worldwide in terms of total assets, Agricultural Bank of China reported the highest total GHG emissions in 2022. All banks' highest CO2 emissions were from scope 2 - indirect GHG emissions (location-based). The Chinese bank's scope 2 emissions in 2022 was 1.9 million tonnes of CO2 equivalent.

Overview The Carbon Management Projects (CONNECT) Toolkit is an online exploratory visualization tool developed by the U.S. Department of Energy's (DOE) Office of Fossil Energy and Carbon Management (FECM) with support from other federal agencies such as the U.S. Environmental Protection Agency (EPA) and the U.S. Department of Transportation (DOT). It provides a single point of access to authoritative information on federal agency investment in a portfolio of research, development, and demonstration (RD&D) projects that have been publicly announced to advance technologies for point source carbon capture, carbon dioxide removal, transport, storage, and conversion, collectively referred to as carbon management. The RD&D programs covered in this tool are authorized by annual congressional appropriations ("Base Program") and the 2021 Infrastructure Investment and Jobs Act (IIJA). The tool also incorporates public information on other federal initiatives, such as the Regional Clean Hydrogen Hubs, and public information released by other government agencies, such as the Environmental Protection Agency's (EPA) and Primacy States’ Underground Injection Control Class VI permits and EPA’s facility level greenhouse gas (GHG) emissions. Developed in a geographic information system, the tool organizes carbon management projects into five groups based on the primary technology that a project aims to advance, each visually represented as a digital layer ("carbon management project layer"). Only federally funded projects are included, which can be awarded projects that are completed or ongoing, or projects that have been selected but are currently under negotiation. Project information can be viewed in the map or in the attribute table below it when turned on. In the map view, each project is displayed at either its host site (for field work), where available, or its performer site (project lead's location, further explained in the table below). Host sites and performer sites are represented in distinct icons. Several reference layers offer additional public information on infrastructural and natural resource environment for carbon management. These reference layers, combined with multiple geographical basemaps, enable users to visualize the carbon management project layers in context. Carbon management project information will be updated monthly based on feedback and information availability. Carbon management project layers Point Source Carbon Capture (PSC) This layer contains DOE-funded projects focused on capturing carbon dioxide (CO2) from power plants or industrial facilities. Carbon Dioxide Removal (CDR) This layer contains DOE-funded projects focused on capturing CO2 from the atmosphere, including direct air capture (DAC) and DAC hubs, direct ocean capture, enhanced mineralization, and biomass carbon removal and storage. For projects with multiple host sites, each of the sites are displayed individually with the project cost and cost sharing information representing the total for the entire project. Carbon Transport This layer contains DOE- and DOT-funded projects focused on CO2 transport. The Transport Research and Development sublayer contains projects that do not involve physical infrastructure; the Proposed Transport Corridor sublayer contains projects for which either a route for the transport infrastructure has been proposed or a general area for the transport infrastructure has been identified. Carbon Storage This layer contains DOE-funded key projects focused on CO2 storage. For projects with multiple field-work sites, each of the sites are displayed individually on the map with the project cost and cost sharing information representing the overall total for the entire project. Carbon Conversion This layer contains DOE-funded projects focused on converting CO2 into economically valuable products. Reference layers The following layers provide additional information in the geographic proximity of carbon management projects. Users should reference the original sources for more details (weblinks provided below and in pop-up windows on the map). Regional Clean Hydrogen Hub and Facility These layers illustrate the approximate areas of the Regional Clean Hydrogen Hubs announced by DOE's Office of Clean Energy Demonstrations (OCED) and the approximate locations of individual facilities that constitute the hubs (see "Where are the H2Hubs located?" on the webpage linked above). EPA Facility Level GHG Emissions (direct emitter) This layer shows direct CO2 emissions from stationary sources in 2022, using data extracted from EPA's Facility Level Information on GreenHouse gases Tool (FLIGHT). Captured and injected CO2 are not deducted from direct emitters’ total emissions. Contact EPA for additional details. Underground Injection Control Class VI permit/permit application This layer shows the locations of CO2 injection wells that are granted or in the process of applying for an Underground Injection Control Class VI permit by EPA or a Primacy State (currently Louisiana, North Dakota, and Wyoming). The URLs for the permits or permit applications are provided in the pop-up windows associated with the well locations. Contact EPA for additional details. Carbon Storage Resource This layer contains information on prospective CO2 storage resources in saline formations and oil and gas reservoirs provided by the National Carbon Sequestration Database and Geographic Information System (NATCARB) spatial database. Contact NETL for additional details. Existing CO2 pipeline This layer shows active CO2 pipelines based on information digitized from the map issued by the Pipeline and Hazardous Materials Safety Administration (PHMSA). Contact PHMSA for additional details.

Consumption-based accounting (CBA) of emissions (also called carbon footprints calculated using MRIO methods) accounts for emissions associated with imported and exported goods. CBA reports the total emissions associated with final demand in each country.

Emissions physically occurring in a country are its territorial emissions. This is sometimes called production-based accounting (PBA). This is the standard reporting of GHG emissions as reported by CDIAC, IEA, the JRC EDGAR database, UNFCCC, and others.

CBA can be calculated using a global multi-region input-output (MRIO) model which traces global supply chains. This dataset uses the Eora MRIO model to calculate the CBA emissions for each country.

Emissions from fossil fuel combustion and cement production are reattributed to the countries where final demand induced the production associated with those emissions. Emissions from aviation and marine bunker fuels are not included in the CBA inventory, as no method has yet been developed to allocate emissions from bunker fuels to countries other than where the fuel is bunkered.

In this dataset, territorial emissions are taken from the PRIMAP emissions database using the HISTCR scenario. Population and GDP data are from the World Bank. CBA results are from the Eora MRIO model (https://worldmrio.com) v199.82, years 1990-2018, by Daniel Moran, Keiichiro Kanemoto, and Arne Geschke.

Many banks today report and publish data of their environmental footprint and set targets to reduce their greenhouse gas (GHG) emissions. North America has the third highest number of member banks of the Net-Zero Banking Alliance, as 17 North American banks are signatories. According to reporting of the largest banks in the United States, JPMorgan Chase reported the highest total GHG emissions in 2022. All banks' highest CO2 emissions were from scope 2 - indirect GHG emissions (location-based). JPMorgan Chase's scope 2 emissions in 2022 amounted to 783,616 metric tonnes of CO2 equivalent.

In 1980, this data base and the corresponding map were completed after more than 20 years of field investigations, consultations, and analyses of published literature. They characterize the use and vegetative cover of the Earth's land surface with a 0.5° × 0.5° grid. This world-ecosystem-complex data set and the accompanying map provide a current reference base for interpreting the role of vegetation in the global cycling of CO2 and other gases and a basis for improved estimates of vegetation and soil carbon, of natural exchanges of CO2, and of net historic shifts of carbon between the biosphere and the atmosphere.For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/epubs/ndp/ndp017/ndp017_1985.html

Imports of low carbon technology products comprise all low carbon technology products entering the national territory. A relatively high share of low carbon technology products imports indicates that an economy purchases a significant share of low carbon technology products from other economies. Exports of low carbon technology products comprise all low carbon technology products leaving the national territory. A relatively high share of low carbon technology products exports indicates that an economy produces and sells a significant share of low carbon technology products to other economies. An economy’s trade balance in low carbon technology products is the difference between its exports and imports of low carbon technology products.Comparative advantage is a measure of the relative advantage or disadvantage a particular economy has in a certain class of goods (in this case, low carbon technology products), and can be used to evaluate export potential in that class of goods. A value greater than one indicates a relative advantage in low carbon technology products, while a value of less than one indicates a relative disadvantage.Sources: Department of Economic and Social Affairs/United Nations. 2022. United Nations Comtrade database. https://comtrade.un.org. International Monetary Fund (IMF) Direction of Trade Statistics (DOTS). https://data.imf.org/dot. World Economic Outlook (WEO) Database. https://www.imf.org/en/Publications/WEO/weo-database/2022/April. IMF staff calculations.Category: Mitigation,Transition to a Low-Carbon EconomyData series: Comparative advantage in low carbon technology productsExports of low carbon technology productsExports of low carbon technology products as percent of GDPExports of low carbon technology products as share of total exportsImports of low carbon technology productsImports of low carbon technology products as percent of GDPImports of low carbon technology products as share of total importsTotal trade in low carbon technology productsTotal trade in low carbon technology products as percent of GDPTrade balance in low carbon technology productsTrade balance in low carbon technology products as percent of GDPMetadata:Sources: Trade data from UN Comtrade Database (https://comtrade.un.org/). Harmonized Commodity Description and Coding System (HS) 2017. Trade aggregates from IMF Direction of Trade Statistics (DOTS) (data.imf.org/dot). GDP data from World Economic Outlook.Methodology:Low carbon technology products are estimated by aggregating HS 6-digit commodities identified as low carbon technology products based on Pigato, Miria A., Simon J. Black, Damien Dussaux, Zhimin Mao, Miles McKenna, Ryan Rafaty, and Simon Touboul. 2020. Technology Transfer and Innovation for Low-Carbon Development. International Development in Focus. Washington, DC: World Bank, and IMF research. Trade balance in low carbon technology products is calculated as low carbon technology products exports less low carbon technology products imports. A positive trade balance means an economy has a surplus in low carbon technology products, while a negative trade balance means an economy has a deficit in low carbon technology products.Total goods are estimated by aggregating all commodities. Comparative advantage is calculated as the proportion of an economy’s exports that are low carbon technology products to the proportion of global exports that are low carbon technology products. Total trade in low carbon technology products is calculated as the sum of low carbon technology products exports and low carbon technology products imports. National-accounts basis GDP at current prices from the World Economic Outlook is used to calculate the percent of GDP. This measure provides an indication of an economy’s involvement (openness) to trade in low carbon technology products, which is important for understanding how these technologies can be transferred between economies.Methodology Attachment Low Carbon Technology Harmonized System Codes

This data package includes the underlying data to replicate the charts presented in Multilateral development banks are key to unlocking low-carbon investments in developing economies, PIIE Policy Brief 23-2.

If you use the data, please cite as: Fries, Steven (2023). Multilateral development banks are key to unlocking low-carbon investments in developing economies, PIIE Policy Brief 23-2. Peterson Institute for International Economics.

The Northern Circumpolar Soil Carbon Database (NCSCD) is a geospatial database created for the purpose of quantifying storage of organic carbon in soils of the northern circumpolar permafrost region.

The spatial base of the NCSCD is a polygon database describing soils in the northern circumpolar permafrost regions. The database was compiled by combining and homogenizing several regional/national soil maps. To calculate storage of soil organic carbon, these soil maps have been linked to field-data on soil organic carbon storage from a total of 1,647 sites from around the circumpolar permafrost region.

The NCSCD contains information on fractions of coverage of different soil types (following U.S. Soil Taxonomy nomenclature) as well as storage of soil organic carbon (kg/m2) between 0-30 cm and 0-100 cm depth. The NCSCD is available either as a polygon-based database (which is the original format) or converted to gridded data. Gridded data products are available in different spatial grid resolutions and in formats adapted for use in desktop GIS-applications and model applications.

Archived data from Northern Circumpolar Soil Carbon Database version 1, 2016-05-26. For later versions of data go to https://bolin.su.se/data/ncscd/.

Archived data from Northern Circumpolar Soil Carbon Database version 1, 2019-05-26.

This data set is related to the SoyFACE experiments, which are open-air agricultural climate change experiments that have been conducted since 2001. The fumigation experiments take place at the SoyFACE farm and facility in Champaign County, Illinois during the growing season of each year, typically between June and October. - The "SoyFACE Plot Information 2001 to 2021" file contains information about each year of the SoyFACE experiments, including the fumigation treatment type (CO2, O3, or a combination treatment), the crop species, the plots (also referred to as 'rings' and labeled with numbers between 2 and 31) used in each experiment, important experiment dates, and the target concentration levels or 'setpoints' for CO2 and O3 in each experiment. - This data set includes files with minute readings of the fumigation levels ("SoyFACE 1-Minute Fumigation Data Files" folder) from the SoyFACE experiments. The "Soyface 1-Minute Fumigation Data Files" folder contains sub-folders for each year of the experiments, each of which contains sub-folders for each ring used in that year's experiments. This data set also includes hourly data files for the fumigation experiments ("SoyFACE Hourly Fumigation Data Files" folder) created from the 1-minute files, and hourly ambient/weather data files for each year of the experiments ("Hourly Weather and Ambient Data Files" folder). The ambient CO2 and O3 data are collected at SoyFACE, and the weather data are collected from the SURFRAD and WARM weather stations located near the SoyFACE farm. - The "Fumigation Target Percentages" file shows how much of the time the CO2 and O3 fumigation levels are within a 10 or 20 percent margin of the target levels when the fumigation system is turned on. - The "Matlab Files" folder contains custom code (Aspray, E.K.) that was used to clean the "SoyFACE 1-Minute Fumigation Data" files and to generate the "SoyFACE Hourly Fumigation Data" and "Fumigation Target Percentages" files. Code information can be found in the "SoyFACE Hourly Fumigation Data Explanation" file. - Finally, the " * Explanation" files contain information about the column names, units of measurement, and other pertinent information for each data file. *NOTE: We have identified some files in the “SoyFACE 1-Minute Fumigation Data Files” folder in our SoyFACE data set submission that were not downloaded properly - the files were present in the folder, but the actual files were empty. V3 ensures that there are no longer any empty files in the data set.

We systematically searched for the papers concerning 'Grain for Green program' in China and soil carbon restoration during 1900-2020, via Google Scholar, Web of Science and China Knowledge Resource Integrated Database. The reported studies were further screened to ensure data quality based on the following criteria. First, cropland, naturally and actively restored ecosystems must have experienced similar climate, soil conditions, history, and levels of disturbance at the same site. Second, restoration studies have been conducted with a paired comparison or chronosequence design. Third, paired comparisons of active restoration versus natural regeneration have started at the same time. Fourth, data on soil depth and restoration time have been clearly provided. Fifth, data on soil carbon at the cropland, naturally or actively restored sites have been reported by their mean values and sample sizes. Tabular data were manually copied from the identified papers, while graphical data were obtained using Engauge Digitizer (Free Software Foundation, Inc., Boston, MA). Finally, we screened 72 studies from 67 published papers.Our dataset (617 paired observations) covers a large spectrum of climate zones, with the mean annual precipitation and temperature spanning 263~1411 mm and -1.7 to 19.2 °C, respectively. The average, minimum and maximum of restoration time were 19.6, 1 and 60 years, respectively. The average, minimum and maximum of soil depth were 30.7, 2.5 and 100 cm, respectively.

Central African Republic CF: Adjusted Savings: Carbon Dioxide Damage: % of GNI data was reported at 0.471 % in 2021. This records an increase from the previous number of 0.446 % for 2020. Central African Republic CF: Adjusted Savings: Carbon Dioxide Damage: % of GNI data is updated yearly, averaging 0.372 % from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 0.525 % in 2001 and a record low of 0.128 % in 1990. Central African Republic CF: Adjusted Savings: Carbon Dioxide Damage: % of GNI data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Environmental: Gas Emissions and Air Pollution. Cost of damage due to carbon dioxide emissions from fossil fuel use and the manufacture of cement, estimated to be US$40 per ton of CO2 (the unit damage in 2017 US dollars for CO2 emitted in 2020) times the number of tons of CO2 emitted.;World Bank staff estimates based on sources and methods described in the World Bank's The Changing Wealth of Nations.;Weighted average;

Replication Codes and Data for Greening the Swiss National Bank's Portfolio

The 2.1 Ma Clear Lake Volcanic Field (Donnelly-Nolan and others, 1981) and the 174 km2 Clear Lake are located ~150 km north of San Francisco, California. Sulphur Bank Mercury Mine (SBMM) is an abandoned mine located on the eastern shore of Clear Lake that was initially worked in 1865 for sulfur, then for mercury until it closed in 1957 (White and Roberson, 1962). The mine was declared a Superfund site by the U.S. Environmental Protection Agency in 1990 because of the presence of mercury-bearing mine waste and mercury bioaccumulation in fish within Clear Lake. SBMM is underlain by a localized, fault-controlled, liquid-dominated hydrothermal system (Goff and others, 1995). Hydrothermal gases are rich in CO2 with a high contribution of mantle-derived He (Goff and Janik, 1993). We carried out surveys of CO2 flux from ground and water surfaces using the accumulation chamber method to characterize the spatial distribution of and quantify hydrothermal CO2 emissions. In an initial rec ...

a. Data content (data file/table name, including observation indicators) This data includes a 30m resolution spatial dataset of carbon storage in Liaoning Province in 2015, which can provide data support for ecological carbon sequestration projects in Liaoning Province. b. Construction purpose Carbon storage is the result of long-term accumulation of carbon in an ecosystem, which is the sum of the existing vegetation biomass organic carbon, litter organic carbon, and soil organic total carbon sequestration capacity of the ecosystem. Understanding the carbon storage situation in Liaoning Province and developing an ecological carbon sequestration project suitable for Liaoning Province is of great significance for enhancing Liaoning Province's carbon management and its position in global greenhouse gas emissions reduction. c. Service target It can widely serve scientific researchers and students in related disciplines such as ecological protection and ecological monitoring. d. Time range of data 2015 e. The spatial scope of data Liaoning Province f. Projection method of data Projected Coordinate System：Krasovsky_1940_Albers Geographic Coordinate System： GCS_Krasovsky_1940 g. The disciplinary scope of data Biology>Ecology>Regional Ecology h. Quantity of data The total data volume is about 1.32GB

This dataset includes chemical, discrete sample, physical and profile data collected from NOAA Ship DELAWARE II in the North Atlantic Ocean and Stellwagen Bank National Marine Sanctuary from 2012-02-02 to 2012-02-19. These data include AMMONIUM (NH4), DISSOLVED INORGANIC CARBON (DIC), DISSOLVED OXYGEN, HYDROSTATIC PRESSURE, NITRATE, SALINITY, SIGMA-THETA, TOTAL ALKALINITY (TA), WATER TEMPERATURE, pH, phosphate and silicate. The instruments used to collect these data include CTD and bottle. These data were collected by Donald C. Melrose of NMFS/NEFSC/Narragansett Lab and Denis Pierrot, Leticia Barbero, and Rik Wanninkhof of NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) as part of the Coastal_Delware_II_2012 dataset. CDIAC associated the following cruise ID(s) with this dataset: DE_1202 The Global Coastal Carbon Data Project data includes the bottle (discrete) and surface (underway) carbon-related measurements from coastal research cruises, the data from time series cruises and coastal moorings. The coastal regions data are very important for the understanding of carbon cycle on the continental margins.

Nigeria NG: CO2 Emissions data was reported at 96,280.752 kt in 2014. This records a decrease from the previous number of 98,136.254 kt for 2013. Nigeria NG: CO2 Emissions data is updated yearly, averaging 50,567.930 kt from Dec 1960 (Median) to 2014, with 55 observations. The data reached an all-time high of 106,067.975 kt in 2005 and a record low of 3,406.643 kt in 1960. Nigeria NG: CO2 Emissions data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Environment: Pollution. Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.; ; Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.; Gap-filled total;

The cloud can offer quick and agile deployment of cybersecurity. By using cloud managed services, a bank can outsource its cybersecurity management at a lower cost. The outsourcing of infrastructure management allows a bank’s IT team to focus on the development of new products, increasing their productivity and helping to speed up the bank’s digital transformation. The cloud offers unmatched scalability that can be used ad-hoc. Banks can use this to develop products faster and ensure they can access technologies such as big data and AI with ease. The carbon footprint of a bank’s data centers will also be reduced with a move to the cloud. Read More

Today, it is the reference database of Article 75 of the Grenelle II Act and is fully consistent with Article L1341-3 of the Transport Code and the default values of the European Emissions Trading System. Administered by ADEME, its governance is multi-stakeholder: 14 members make up it such as the Ministry of Ecological and Solidarity Transition (MTES), the Mouvement des entreprises de France (MEDEF), the Climate Action Network (RAC), the Association of Professionals in Climate Council (APCC), etc. Its enrichment is open to all through the possibility of external contributions. Access to the official base The legal framework is as follows: Article L312-1-1 of the Code of Relations between the Public and Administration (CRPA) stipulates that administrations are obliged to publish online “data, regularly updated, whose publication is of economic, social, health or environmental interest”. * Article D323-2-1 of the RCAP states that, if the administration wishes to restrict the possible re-use of the data, it may choose one of the following licenses: “Open License” or “Open Database License”. If it wishes to impose another licence, it must be the subject of prior approval (Article D323-2-2). * Article L300-4* of the CRPA adds that the data must be published “in an open standard, easily reusable and usable by an automated processing system”. Until 28 May 2020, the “Base Carbone” files could only be viewed online one by one (after creating a user account). This did not allow automated processing. The complete download of the database was restricted (subject to the supply of a Kbis and the signing of a licence not approved within the meaning of Article D323-2-2). The ADEME offered free download, under the Open License, only one extract of 858 lines (version 14.0). This extract represented only 6 % of the base, and was not up to date with the latest version. Since 28 May 2020, ADEME has been broadcasting Base Carbone v18.0 on the same site, in trilingual version and with v18.0 data, without requiring the creation of a user account or the signing of a specific license. Unfortunately, the license chosen is not indicated on this page. It is nevertheless from this dataset that we have to leave for any new analysis. Description of the proposed game Here we keep a work of artisan consolidation of the complete base, which was useful before the publication by ADEME dated May 28, 2020 of the database in open data: * the game is distributed in two formats: * a format XLSX, for easy opening in Excel, for the general public, * a format CSV, with encoding UTF-8, separator virgul, for automated use in a standard format, for computer scientists, * the data are those of the version 17.0 (14 November 2019) which is therefore no longer the latest version, * column names are chosen from the official extract from the Carbon Base proposed for download, * only fields in French are taken up, saving time, * the “Element Type” field is not completed because it does not understand its definition. Documentation

This material is part of the free Environmental Performance in Construction (EPiC) Database. The EPiC Database contains embodied environmental flow coefficients for 250+ construction materials using a comprehensive hybrid life cycle inventory approach.Aluminium is a ductile non-ferrous metal. It is a lightweight metal with an average density of 2.7 t/m³. It is durable, corrosion resistant, a good reflector of both visible and infrared radiation, and highly recyclable. Aluminium alloys are used in the construction industry as raw aluminium typically lacks the strength required for most of its applications.Aluminium is extracted from bauxite, its common ore, through an extensive process. Bauxite is converted to aluminium oxide through the Bayer process. Aluminium oxide (or Alumina) is then converted to aluminium billets by the electricity-intensive Hall-Héroult process, made of 99% aluminium, which can be further purified if needed. Aluminium billets are then thermoformed into the relevant shape.Aluminium is commonly used as a construction material, notably as cladding, structural and window framing, and as a thermal reflector. Aluminium sheets or plates are used as the base material for aluminium cladding, gutters, and structural elements.