From the site: "AAPG Datapages and the AAPG GIS Publications Committee wish to thank Dr. M. K. (Mike) Horn for allowing his Giant Oil and Gas Fields of the World GIS project to be posted on Datapages' GIS Open Files page, thereby making it available to the public as a free download. This compilation shows key information about most of the largest known hydrocarbon accumulations in the world. Specific data include discovery year, hydrocarbon volumes, trap type, geologic age, reservoir lithology, and classification into global basin and geologic province domains. Also included is an extensive reference listing. This dataset complements several AAPG memoirs and series publications that address giant oil and gas fields. Please note: This project is available in three formats: Shapefile, Geodatabase, and ArcReader."
GEBCO’s current gridded bathymetric data set, the GEBCO_2023 Grid, is a global terrain model for ocean and land, providing elevation data, in meters, on a 15 arc-second interval grid. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2023 Grid is based on. This release includes a version of the grid with under-ice topography/bathymetry information for Greenland and Antarctica.
Monthly averages of global maximum surface temperatures (C) for 1981-2010 from CRU TS data, provided on an approximately 60km grid.This data contains a field for each month’s average over the period. They are named 'tmax' (temperature maximum) and the month. E.g. 'tmax April' is the mean of daily-maximum temperatures in April throughout 1981-2010.Data defaults to displaying January averages. Each monthly average is a field in the data. Use 'show table' to view all values, and 'change style' to change which month is displayed in the map.The grid is a lat-long grid, with cells close to the equator measuring approximately 60kmx60km. This is the same as the 60km grid used by UKCP18.Data source: CRU TS v. 4.06 - (downloaded 12/07/22)More about CRU TS - https://crudata.uea.ac.uk/cru/data/hrg/This dataset forms part of the Met Office’s Climate Data Portal service. This service is currently in Beta. We would like your help to further develop our service, please send us feedback via the site - https://climate-themetoffice.hub.arcgis.com/
Monthly averages of global minimum surface temperatures (C) for 1981-2010 from CRU TS data, provided on an approximately 60km grid.This data contains a field for each month’s average over the period. They are named 'tmin' (temperature minimum) and the month. E.g. 'tmin April' is the mean of daily-minimum temperatures in April throughout 1981-2010.Data defaults to displaying January averages. Each monthly average is a field in the data. Use 'show table' to view all values, and 'change style' to change which month is displayed in the map.The grid is a lat-long grid, with cells close to the equator measuring approximately 60kmx60km. This is the same as the 60km grid used by UKCP18.Data source: CRU TS v. 4.06 - (downloaded 12/07/22)More about CRU TS - https://crudata.uea.ac.uk/cru/data/hrg/This dataset forms part of the Met Office’s Climate Data Portal service. This service is currently in Beta. We would like your help to further develop our service, please send us feedback via the site - https://climate-themetoffice.hub.arcgis.com/
Monthly averages of global rainfall amount (mm) for 1981-2010 from CRU TS data, provided on an approximately 60km grid.This data contains a field for each month’s average over the period. They are named 'pr' (precipitation) and the month. E.g. 'pr March' is the mean of monthly-total rainfall in March throughout 1981-2010.Data defaults to displaying January averages. Each monthly average is a field in the data. Use 'show table' to view all values, and 'change style' to change which month is displayed in the map.The grid is a lat-long grid, with cells close to the equator measuring approximately 60kmx60km. This is the same as the 60km grid used by UKCP18.Data source: CRU TS v. 4.06 - (downloaded 12/07/22)More about CRU TS - https://crudata.uea.ac.uk/cru/data/hrg/This dataset forms part of the Met Office’s Climate Data Portal service. This service is currently in Beta. We would like your help to further develop our service, please send us feedback via the site - https://climate-themetoffice.hub.arcgis.com/
Monthly averages of global rainfall amount (mm) for 2040-2069 from CRU TS and UKCP18 RCP2.6, provided on an approximately 60km grid.This data contains a field for each month’s average over the period. They are named 'pr' (precipitation), the month, and 'upper' 'median' or 'lower' as per the description below. E.g. 'pr March Median' is the mean of monthly-total rainfall in March throughout 2040-2069, in the median ensemble member.Data defaults to displaying January averages. Each monthly average is a field in the data. Use 'show table' to view all values, and 'change style' to change which month is displayed in the map.Data has been removed and replaced with 'Null' where the baseline 1981-2010 value was <1mm/month. This is because the percentage change may be unreliable with a very small baseline. 'Null' means that data is not provided, it doesn't mean 0mm precipitation. The grid is a lat-long grid, with cells close to the equator measuring approximately 60kmx60km.More about CRU TS - https://crudata.uea.ac.uk/cru/data/hrg/More about UKCP - https://www.metoffice.gov.uk/research/approach/collaboration/ukcp/indexWhat is the data?The data combines a baseline 1981-2010 value from CRU TS with a percentage change relative to 1981-2010 from UKCP18. Where the baseline value was <1mm/month, the projection value has been replaced with 'Null' because the percentage change may be unreliable with a very small baseline.The percentage change data is from the UKCP18 regional projections using the RCP2.6 scenario. RCP2.6 is a low emissions scenario, representing a mitigation scenario aiming to limit the increase of global mean temperature to around 2°C above preindustrial levels .What do the 'median', 'upper', and 'lower' values mean?This scenario is run as 12 separate ensemble members. To select which ensemble members to use, a single value for the mean global precipitation for the period 2040-2069 was taken from each ensemble member. They were then ranked in order from lowest precipitation to highest. The 'lower' fields are this data is the second lowest ranked ensemble member. The 'higher' fields are the second highest ranked ensemble member. The 'median' fields are the central (7th) ranked ensemble member.This gives a median value, and a spread of the ensemble members indicating the level of uncertainty in the projections.Recommendations for use of this data:1. We don't recommend using this data at the resolution of a single cell.The higher resolution of this data improves representation of topography, coasts, etc. but at the same time increases some of the uncertainty for individual grid cells. And so it is recommended to work with multiple grid cells, or an average of grid cells around a point to improve certainty.2. Consider whether the lower, median, or upper projections, or a combination, are most suitable for your use case.As described above, the spread of the ensemble members shown by the lower, median, and upper values indicates the level of uncertainty in the projections.Data source: CRU TS v. 4.06 - (downloaded 12/07/22)UKCP18 v.20200110 (downloaded 17/08/22)This dataset forms part of the Met Office’s Climate Data Portal service. This service is currently in Beta. We would like your help to further develop our service, please send us feedback via the site - https://climate-themetoffice.hub.arcgis.com/
Monthly averages of global rainfall amount (mm) for 2070-2099 from CRU TS and UKCP18 RCP2.6, provided on an approximately 60km grid.This data contains a field for each month’s average over the period. They are named 'pr' (precipitation), the month, and 'upper' 'median' or 'lower' as per the description below. E.g. 'pr March Median' is the mean of monthly-total rainfall in March throughout 2070-2099, in the median ensemble member.Data defaults to displaying January averages. Each monthly average is a field in the data. Use 'show table' to view all values, and 'change style' to change which month is displayed in the map.Data has been removed and replaced with 'Null' where the baseline 1981-2010 value was <1mm/month. This is because the percentage change may be unreliable with a very small baseline. 'Null' means that data is not provided, it doesn't mean 0mm precipitation. The grid is a lat-long grid, with cells close to the equator measuring approximately 60kmx60km.More about CRU TS - https://crudata.uea.ac.uk/cru/data/hrg/More about UKCP - https://www.metoffice.gov.uk/research/approach/collaboration/ukcp/indexWhat is the data?The data combines a baseline 1981-2010 value from CRU TS with a percentage change relative to 1981-2010 from UKCP18. Where the baseline value was <1mm/month, the projection value has been replaced with 'Null' because the percentage change may be unreliable with a very small baseline.The percentage change data is from the UKCP18 regional projections using the RCP2.6 scenario. RCP2.6 is a low emissions scenario, representing a mitigation scenario aiming to limit the increase of global mean temperature to around 2°C above preindustrial levels .What do the 'median', 'upper', and 'lower' values mean?This scenario is run as 12 separate ensemble members. To select which ensemble members to use, a single value for the mean global precipitation for the period 2070-2099 was taken from each ensemble member. They were then ranked in order from lowest precipitation to highest. The 'lower' fields are this data is the second lowest ranked ensemble member. The 'higher' fields are the second highest ranked ensemble member. The 'median' fields are the central (7th) ranked ensemble member.This gives a median value, and a spread of the ensemble members indicating the level of uncertainty in the projections.Recommendations for use of this data:1. We don't recommend using this data at the resolution of a single cell.The higher resolution of this data improves representation of topography, coasts, etc. but at the same time increases some of the uncertainty for individual grid cells. And so it is recommended to work with multiple grid cells, or an average of grid cells around a point to improve certainty.2. Consider whether the lower, median, or upper projections, or a combination, are most suitable for your use case.As described above, the spread of the ensemble members shown by the lower, median, and upper values indicates the level of uncertainty in the projections.Data source: CRU TS v. 4.06 - (downloaded 12/07/22)UKCP18 v.20200110 (downloaded 17/08/22)This dataset forms part of the Met Office’s Climate Data Portal service. This service is currently in Beta. We would like your help to further develop our service, please send us feedback via the site - https://climate-themetoffice.hub.arcgis.com/
Monthly averages of global surface temperature (C) for 1981-2010 from CRU TS data, provided on an approximately 60km grid.This data contains a field for each month’s average over the period. They are named 'tas' (temperature at surface) and the month. E.g. 'tas March' is the mean of daily-mean temperatures in March throughout 1981-2010.Data defaults to displaying January averages. Each monthly average is a field in the data. Use 'show table' to view all values, and 'change style' to change which month is displayed in the map.The grid is a lat-long grid, with cells close to the equator measuring approximately 60kmx60km. This is the same as the 60km grid used by UKCP18.Data source: CRU TS v. 4.06 - (downloaded 12/07/22)More about CRU TS - https://crudata.uea.ac.uk/cru/data/hrg/This dataset forms part of the Met Office’s Climate Data Portal service. This service is currently in Beta. We would like your help to further develop our service, please send us feedback via the site - https://climate-themetoffice.hub.arcgis.com/
This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for countries. Processors and tools are using this data. EnhancementsMerge countries and Dependencies/Sovereign states (like France and overseas territories).Simplify geometries to provide better performance across the services.
The Stygofauna Mundi database is an Access database gathering all the information on groundwater crustacean species distribution contained in 36 chapters of Botosaneanu L. (1986). These chapters were digitised in the framework of the EU FP7 BioFresh project. Botosaneanu L. (1986). Stygofauna Mundi. A faunistic, distributional, and ecological synthesis of the world fauna inhabiting subterranean waters (including the Marine Interstitial). Leiden E.J. BRILL. The Netherlands. 740 pages. More information on this dataset can be found in the Freshwater Metadatabase - BF_DIG2 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_DIG2).
The World Risk Index indicates the risk of disasters from extreme natural events and the negative consequences of climate change for 193 countries around the world. It is calculated per country as the geometric mean of exposure and vulnerability. Exposure represents the vulnerability of the population to earthquakes, tsunamis, coastal and river floods, hurricanes, droughts and sea level rise.
From the site: "Information on carbonatite deposits containing niobium and rare earth elements from around the world with grade and tonnage models, geologic setting, mineralogy, with data allowing locations of these deposits to be plotted using GIS."
From the site: "Geochemical analysis of rock samples collected and analyzed by the USGS. This dataset includes and supersedes rock data formerly released as "Geochemistry of igneous rocks in the US extracted from the PLUTO database". The database contains 414,304 records."
From the site: "Location, geologic and mineral economic data for world rare earth mines, deposits, and occurrences compiled from published and non-published sources. Geographic coordinates are provided for 577 of the 799 deposits described here."