Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Comparison of estimates produced for production and manufacturing in the UK at first publication against estimates published 12 months later.
Datasets contain original and revised Index of Watershed Integrity (IWI) and Index of Catchment Integrity (ICI), as well as sub-components that were used to develop the indices and water quality data used to revise and/or evaluate the indices. This dataset is associated with the following publication: Johnson, Z.C., S. Leibowitz, and R.A. Hill. Revising the index of watershed integrity national maps. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 651: 2615-2630, (2018).
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Monthly chained volume indices in gross value added for services and its main components.
The U.S. Social Vulnerability Index Grids, Revision 01 data set contains gridded layers for the overall Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) using four sub-category themes (Socioeconomic, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation) based on census tract level inputs from 15 variables for the years 2000, 2010, 2014, 2016, 2018, and 2020. SVI values range between 0 and 1 based on their percentile position among all census tracts in the U.S., with 0 representing lowest vulnerability census tracts and 1 representing highest vulnerability census tracts. SEDAC has gridded these vector inputs to create 1 kilometer spatial resolution raster surfaces allowing users to obtain vulnerability metrics for any user-defined area within the U.S. Utilizing inputs from CIESIN's Gridded Population of the World, Version 4 (GPWv4) Revision 11 data sets, a mask is applied for water, and optionally, for no population. The data are provided in two different projection formats, NAD83 as a U.S. specific standard, and WGS84 as a global standard. The goal of the SVI is to help identify vulnerable commUnities by ranking them on these inputs across the U.S.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Cycle of Leading Composite Index: Year over Year: Percent Change data was reported at 3.000 % in Mar 2025. This records an increase from the previous number of 2.900 % for Feb 2025. Cycle of Leading Composite Index: Year over Year: Percent Change data is updated monthly, averaging 5.200 % from Jan 1970 (Median) to Mar 2025, with 663 observations. The data reached an all-time high of 25.600 % in Mar 1973 and a record low of -3.100 % in Feb 1998. Cycle of Leading Composite Index: Year over Year: Percent Change data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.S001: Composite Economic Index: KSIC 10th Revision: 2020=100.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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LDCI: MoM: Economic Sentiment Index: Difference data was reported at 1.300 2020=100 in Mar 2025. This records an increase from the previous number of -0.900 2020=100 for Feb 2025. LDCI: MoM: Economic Sentiment Index: Difference data is updated monthly, averaging -0.100 2020=100 from Jan 2003 (Median) to Mar 2025, with 267 observations. The data reached an all-time high of 8.700 2020=100 in Jun 2009 and a record low of -12.400 2020=100 in Dec 2008. LDCI: MoM: Economic Sentiment Index: Difference data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.S001: Composite Economic Index: KSIC 10th Revision: 2020=100.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Software Heritage is a comprehensive archive of publicly available software source code together with its development history, as captured by modern version control system.
This dataset provides a full index of the revision (AKA "commits") identifiers archived by Software Heritage at a given point in time. Each revision identifier can be used to fetch complete revision information via either the Software Heritage API from the main archive or as a persistent identifier to retrieve the same information from any existing Software Heritage mirrors.
Also, revision identifiers are compatible with the identifiers used by the Git version control system, so that they can be cross-referenced with any existing Git repository.
Note: the authors of the dataset are currently anonymous for double-blind review needs.
MIT Licensehttps://opensource.org/licenses/MIT
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An update to the original web layer referenced above; this layer is meant to provide easier access to attributes that determined the overall indexing categories when interacted with--particularly the following: adults w/o a 4-year degree, households with limited English proficiency, population below 200% of the federal poverty level, population identifying as people of color, population with a disability, renter households, age 65 or older, youth under age 18. These changes are meant to highlight the maps purpose as a measure of social and economic vulnerability.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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CCI: MoM: Industrial Production Index: Percent Change data was reported at 0.400 % in Mar 2025. This records a decrease from the previous number of 0.700 % for Feb 2025. CCI: MoM: Industrial Production Index: Percent Change data is updated monthly, averaging 0.300 % from Jan 2003 (Median) to Mar 2025, with 267 observations. The data reached an all-time high of 5.500 % in Apr 2009 and a record low of -7.200 % in Jan 2009. CCI: MoM: Industrial Production Index: Percent Change data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s South Korea – Table KR.S001: Composite Economic Index: KSIC 10th Revision: 2020=100.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Revisions triangles for monthly construction output indices in Great Britain.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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BSI: Actual: BC: Non-Mfg: Daegu-Gyeongbuk: Daegu data was reported at 14.000 NA in Mar 2020. This records a decrease from the previous number of 50.000 NA for Feb 2020. BSI: Actual: BC: Non-Mfg: Daegu-Gyeongbuk: Daegu data is updated monthly, averaging 66.000 NA from Jan 2013 (Median) to Mar 2020, with 87 observations. The data reached an all-time high of 84.000 NA in Jun 2016 and a record low of 14.000 NA in Mar 2020. BSI: Actual: BC: Non-Mfg: Daegu-Gyeongbuk: Daegu data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.S010: Business Survey Index (BSI): The Bank of Korea: KSIC 10th Revision. [COVID-19-IMPACT]
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
BSI: Actual: EG: Mfg: Daegu-Gyeongbuk data was reported at 66.000 NA in Mar 2020. This records an increase from the previous number of 62.000 NA for Feb 2020. BSI: Actual: EG: Mfg: Daegu-Gyeongbuk data is updated monthly, averaging 83.000 NA from Jan 2013 (Median) to Mar 2020, with 87 observations. The data reached an all-time high of 115.000 NA in May 2018 and a record low of 61.000 NA in Nov 2015. BSI: Actual: EG: Mfg: Daegu-Gyeongbuk data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.S010: Business Survey Index (BSI): The Bank of Korea: KSIC 10th Revision. [COVID-19-IMPACT]
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The output indicator on construction reflects the volume development of the value added (basic prices) in the sector construction according to the Standard Industrial Classification of all Economic Activities 2008 (SIC 41, 42 and 43). Monthly figures of construction are made consistent with figures of Quarterly accounts when these are available. Monthly figures are also corrected for price changes. When the last month of a quarter is published, the second estimate of Quarterly accounts figures of the National accounts are not yet available. Therefore, figures of value added of construction in the table can differ from value added figures of National accounts. Subjects: Volume changes, compared to the same period of the previous year and volume index figures, base year 2010=100.
Data available from: January 2005.
Changes as of 16 February 2018: The figures of December 2017 have been added and the figures of October and November have been adjusted.
Changes as of 17 July 2017: The figures of 2014 have become final and the figures of 2015-2017 are still provisional. Due to additional information on 2014-2017, all the indices since 2014 have been adjusted. May 2017 has been added.
Changes as of 16 July 2014: Revision 2010. In 2014, Statistics the Netherlands has conducted a major revision on their macro-economic data. The national accounts have been compiled in accordance with the guidelines and concepts of the new European System of Accounts 2010 (ESA 2010). In addition, new statistical sources and estimation methods have been used during the revision. This has its consequences for the index and changes in value added of the construction industry. The monthly figures about the value added of the construction industry have been adjusted to fit the Revision 2010 and the results of the National accounts 2013 and related Quarterly accounts.
When are new figures released? This table will be replaced by a new table on 16 March 2018 due to the five-yearly change of the base year.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Revisions made to the UK producer price total output; one-month data starting in November 2020.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Statistics Netherlands collects monthly data on imports and exports of goods. This table comprises index figures and changes in terms of percentage of terms of trade, import price and export price of goods. Imports and exports are defined by change in economic ownership of the goods concerned. The indices are based on 2021=100. The changes in terms of percentage are compared with the same period twelve months previously.
Data available from: 1995 January
Status of the figures: Annual data from 1995 up to and including 2023 are final. Monthly and quarterly data on 2023, 2024 and 2025 are provisional.
Correction as of July 23th 2025: During the changes on July 11th 2025, wrong data on the terms of trade and importprices in 2022 have been made final. The final data have now been corrected.
Changes as of July 11th 2025: Data from May 2025 have been added. The data from February, March and April 2025 and the monthly and quarterly data from 2023 and 2024 have been adjusted. The annual data from 2023 have been made final.
Terms of trade figures, import prices and export prices may be adjusted once new or updated source information becomes available in the monthly international trade statistics or producer prices. In addition, monthly price changes are adjusted retrospectively to fit those of imports and exports of goods in the quarterly National Accounts and the annual National Accounts. A complete revision of the National Accounts is done once every five years.
When will new figures be published? Six to seven weeks after the end of the month under review.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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This dataset contains the digitized treatments in Plazi based on the original journal article Bezděk, Jan (2025): Revision of the genus Melitonoma (Coleoptera, Chrysomelidae). 1. History, type species and revision of the M. juvenca species group. European Journal of Taxonomy 976: 208-237, DOI: 10.5852/ejt.2025.976.2791, URL: https://europeanjournaloftaxonomy.eu/index.php/ejt/article/download/2791/12757
MIT Licensehttps://opensource.org/licenses/MIT
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This metadata refers to the Leaf Area Index (LAI) dataset, one of the near real-time (NRT) Vegetation Index products of the pan-European High Resolution Vegetation Phenology and Productivity (HR-VPP), component of the Copernicus Land Monitoring Service (CLMS).
The Leaf Area Index (LAI) is defined as half the total area of green elements of the canopy per unit horizontal ground area.
The satellite-derived value corresponds to the total green LAI of all the canopy layers, including the understory which may represent a very significant contribution, particularly for forests.
The LAI dataset is made available as raster files with 10 x 10m resolution, in UTM/WGS84 projection corresponding to the Sentinel-2 tiling grid, for those tiles that cover the EEA38 countries and the United Kingdom and for the period from October 2016 until today, with daily updates.
Each file has an associated quality indicator (QFLAG2) to assist users with the screening of clouds, shadows from clouds and topography, snow and water surfaces.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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BSI: Actual: EG: Mfg: Pohang data was reported at 52.000 NA in Mar 2020. This stayed constant from the previous number of 52.000 NA for Feb 2020. BSI: Actual: EG: Mfg: Pohang data is updated monthly, averaging 78.000 NA from Jan 2013 (Median) to Mar 2020, with 87 observations. The data reached an all-time high of 102.000 NA in Nov 2013 and a record low of 52.000 NA in Mar 2020. BSI: Actual: EG: Mfg: Pohang data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.S010: Business Survey Index (BSI): The Bank of Korea: KSIC 10th Revision. [COVID-19-IMPACT]
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This table has been discontinued due to a shift in the base year.
The output indicator on construction reflects the volume development of the value added (basic prices) in the sector construction according to the Standard Industrial Classification of all Economic Activities 2008 (SIC 41, 42 and 43). Monthly figures of construction are made consistent with figures of quarterly accounts when these are available. Monthly figures are also corrected for price changes. When the last month of a quarter is published, the second estimate of quarterly accounts figures of the national accounts are not yet available. Therefore, figures of value added of construction in the table can differ from value added figures of national accounts. Subjects: Volume changes, compared to the same period of the previous year and volume index figures, base year 2015=100.
Data available from January 2005 up and until December 2023.
Changes as of 01 May 2024: The figures of December 2023 have been added and the figures of October 2023 up to and including November 2023 could have been adjusted and this table has been discontinued.
Changes as of 18 July 2023: The yearly national accounts updates have been carried out and the figures of January 2020 up to and including April 2023 have been adjusted. The figures of May 2023 could been added. From now on the figures of 2020 are final.
Status of the figures: Data from 2005 up to and including 2020 are final. Data from 2021 onwards are provisional. Since this table has been discontinued, the data will not be finalized.
Changes as of 16 March 2021: The figures of January 2021 have been added and the figures of October up to and including December 2020 have been adjusted. From now on, we send the calendar and seasonally adjusted figures to Eurostat. The link to the relevant table can be found in section 3.
Statistics Netherlands has carried out a revision of the national accounts in June of 2018. New statistical sources and estimation methods have been used during the revision. This table provides the data after revision. For further information see section 3.
When are new figures released? No longer applicable.
This table is succeeded by "Construction; value added, index 2021=100 and changes". See Section 3.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Revisions made to the UK producer price total output; 12-month data starting in November 2020.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Comparison of estimates produced for production and manufacturing in the UK at first publication against estimates published 12 months later.