The 2017 National Resources Inventory (NRI) conducted by the U.S. Department of Agriculture's Natural Resources Conservation Service (NRCS) provides updated information on the status, condition, and trends of land, soil, water, and related resources on the Nation's non-Federal lands. Non-Federal lands include privately owned lands, tribal and trust lands, and lands controlled by State and local governments. The 2017 NRI provides nationally consistent data for the 35-year period 1982–2017. This current NRI database should be used to compare 2017 conditions with those for earlier years. Major releases of these data continue to be reported at 5-year intervals. The NRI survey framework was also used to conduct focused data collections, such as the annual Grazing Lands On-Sites, the Conservation Effects Assessment Project (CEAP) Farmer Surveys, and other one-time special studies. Statistical estimation and quality assurance procedures employed for the NRI survey program help ensure that trends reported using NRI data reflect true changes in resource conditions; Chapter 7 Methodology and Use section of this report provides further explanation. This report presents national- and state-level estimates from the 2017 NRI for the 48 conterminous states, Hawaii, and the Caribbean Territories for basic NRI data themes, including changes and trends in land cover/use, irrigation, land capability class and subclass, prime farmland, soil erosion, and wetlands. Information on how to request additional NRI estimates can be found on the NRI Web site at http://www.nrcs.usda.gov/technical/nri/. NRI summary report (pdf), data tables (xlsx), and figures (zip) are available for download, and State and Regional profiles based on the 2017 NRI can be found through the RCA data viewer. Resources in this dataset:Resource Title: National Resources Inventory. File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/nrcs/detail/national/technical/nra/nri/ A statistical survey of land use and natural resource conditions and trends on U.S. non-Federal lands.

India NRI Deposits: Net Accretions: Non Resident Ordinary Rupee Accounts data was reported at 185.000 USD mn in Sep 2018. This records a decrease from the previous number of 367.000 USD mn for Aug 2018. India NRI Deposits: Net Accretions: Non Resident Ordinary Rupee Accounts data is updated monthly, averaging 104.000 USD mn from Apr 2006 (Median) to Sep 2018, with 150 observations. The data reached an all-time high of 997.000 USD mn in Nov 2011 and a record low of -411.000 USD mn in Aug 2017. India NRI Deposits: Net Accretions: Non Resident Ordinary Rupee Accounts data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.KAG003: Non Resident Indian Deposits.

The Nationwide Rivers Inventory (NRI) is a listing of more than 3,200 free-flowing river segments in the United States that are believed to possess one or more "outstandingly remarkable" natural or cultural values judged to be at least regionally significant. Hence, NRI river segments are potential candidates for inclusion in the National Wild and Scenic River System. Under the Wild and Scenic Rivers Act section 5(d)(1) and related guidance, all federal agencies must seek to avoid or mitigate actions that would adversely affect one or more NRI segments.The NRI is a source of information for statewide river assessments and federal agencies involved with stream-related projects. For any group concerned with ecosystem management, the inventory can provide the location of the nearest naturally- functioning system which might serve as a reference for monitoring activities. It also serves as a listing of plant and animal species for restoration efforts on a similar section of river. For the recreationalist, it provides a listing of free-flowing, relatively undisturbed river segments. This data set is for the contiguous United States as well as Alaska, Hawaii, and Puerto Rico and contains 3,213 river segments. This update includes: • Updating the geospatial resolution/ scale to 1:24K • Removing duplicate and overlapping segments • Removing segments or portions of segments that were designated into the National WSR System• Creating a geodatabase with additional attribute fields. Attributes from the original GIS layer were transferred over. Known information on the classification, official NRI list, number of river miles (calculated from GIS) and management entity (federal) were filled in. Notes were made when changes were made to the data. Not all the attributes in the database are filled in and select rivers have additional information.The new number of NRI river segments is 3,213 (down from 3,439 in the original access files and 2,805 in the original GIS shape file.) Many more segments were modified to remove the designated WSR reaches. Candidate rivers that were found eligible through 5(a) and 5(d) WSR studies since 1993 by the USFS, USFWS, BLM, and NPS in OR have not been added to this database. In order to add these to the official NRI list, the Secretary of Interior would need to announce this addition and notify other federal agencies of this action. No new studies would be needed. It is just a matter of compiling existing studies and data. The file represents the line data for the river segments that are on the NRI list in the contiguous United States as well as Alaska, Hawaii, and Puerto Rico. The data was created by extracting the river segments from the NHD data layer with a 1:24,000 scale.IRMA Data Store Reference

This feature class describes properties listed on the National Register of Historic Places, classified as historic buildings, object, sites, structures, and districts, and depicted as points. The National Register of Historic Places requires the submission of a single UTM coordinate pair for properties under 10 acres. Attribute data in this dataset are intentionally limited to those necessary for spatial data maintenance and feature level metadata necessary to document the lineage of the geography itself. Data from external database systems, such as the National Register Information System, are intended to link with these data to provide basic feature attributes. The means to maintain unique identifiers for each historic site (CR_ID), Survey_ID, as well as unique geometries associated with that feature (Geometry_ID) are through the use of Globally Unique Identifiers (GUIDs) assigned by the database. Information about the genesis of individual points is documented by feature level metadata fields in the spatial attribute table.

India External Debt: NRI: Non Resident Ordinary Rupee data was reported at 999,183.531 INR mn in Sep 2018. This records an increase from the previous number of 949,918.456 INR mn for Jun 2018. India External Debt: NRI: Non Resident Ordinary Rupee data is updated quarterly, averaging 471,060.000 INR mn from Mar 2004 (Median) to Sep 2018, with 59 observations. The data reached an all-time high of 999,183.531 INR mn in Sep 2018 and a record low of 0.000 INR mn in Mar 2005. India External Debt: NRI: Non Resident Ordinary Rupee data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FC001: External Debt: INR.

India External Debt: NRI: Non Resident: External: Rupee Account data was reported at 6,218,683.007 INR mn in Sep 2018. This records an increase from the previous number of 6,023,381.972 INR mn for Jun 2018. India External Debt: NRI: Non Resident: External: Rupee Account data is updated quarterly, averaging 1,220,190.000 INR mn from Mar 2004 (Median) to Sep 2018, with 59 observations. The data reached an all-time high of 6,218,683.007 INR mn in Sep 2018 and a record low of 879,980.000 INR mn in Mar 2004. India External Debt: NRI: Non Resident: External: Rupee Account data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under Global Database’s India – Table IN.FC001: External Debt: INR.

description: This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS05), Combination of Irrigation Sources (CIS) on agricultural land by county. A combination of irrigation sources means one or more sources of irrigation, such as wells, ponds, or streams are used on agricultural land. (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which CIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.; abstract: This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS05), Combination of Irrigation Sources (CIS) on agricultural land by county. A combination of irrigation sources means one or more sources of irrigation, such as wells, ponds, or streams are used on agricultural land. (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which CIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

The National Register geospatial dataset is intended to be a comprehensive inventory of all cultural resources that are listed on the National Register of Historic Places. However, this dataset excludes all features deemed 'restricted' or 'sensitive', such as sensitive archaeological sites. This dataset provides feature geometry representations (point or polygon) and is intended to be supplemented with descriptive attributes maintained by other external database systems such as the National Register Information System which is included in this geodatabase.

This feature class describes properties listed on the National Register of Historic Places, classified as historic buildings, objects, sites, structures, and districts, and depicted as polygons. The National Register of Historic Places requires the submission of a single UTM coordinate pair for properties under 10 acres or a series of bounding UTM coordinate pairs for properties over 10 acres. The polygons contained within this dataset represent boundaries created from connecting the bounding UTM coordinates submitted with the nomination. Attribute data in this dataset are intentionally limited to those necessary for spatial data maintenance and feature level metadata necessary to document the lineage of the geography itself. Data from external database systems, such as the National Register Information System, are intended to link with these data to provide basic feature attributes. The means to maintain unique identifiers for each historic site (CR_ID), Survey_ID, as well as unique geometries associated with that feature (Geometry_ID) are through the use of Globally Unique Identifiers (GUIDs) assigned by the database. Information about the genesis of individual points is documented by feature level metadata fields in the spatial attribute table.

India International Banking: Liabilities: Other: Equities of Banks Held by NRIs data was reported at 1,395,834.523 INR mn in Mar 2018. This records an increase from the previous number of 1,329,789.129 INR mn for Dec 2017. India International Banking: Liabilities: Other: Equities of Banks Held by NRIs data is updated quarterly, averaging 612,130.000 INR mn from Sep 2004 (Median) to Mar 2018, with 55 observations. The data reached an all-time high of 1,484,710.845 INR mn in Dec 2014 and a record low of 13,790.000 INR mn in Sep 2004. India International Banking: Liabilities: Other: Equities of Banks Held by NRIs data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Banking Sector – Table IN.KBA002: Assets and Liabilities: International Banking.

India NRI Deposits: Net Accretions: Non Resident External Rupee Accounts data was reported at 1.152 USD bn in Sep 2018. This records a decrease from the previous number of 1.178 USD bn for Aug 2018. India NRI Deposits: Net Accretions: Non Resident External Rupee Accounts data is updated monthly, averaging 302.500 USD mn from Apr 2001 (Median) to Sep 2018, with 210 observations. The data reached an all-time high of 3.443 USD bn in May 2012 and a record low of -512.000 USD mn in May 2004. India NRI Deposits: Net Accretions: Non Resident External Rupee Accounts data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under Global Database’s India – Table IN.KAG003: Non Resident Indian Deposits.

The Central Geological Database Archival Reports Subsystem (CBDG) is one of the most important PIG-PIB digital data resources. It stores catalog data of archival geological studies from the National Geological Archives (NGA) in Warsaw, its regional branches, as well as from over 100 archives in the country. The CBDG Archival Reports Subsystem is the largest collection of this type of data and contains information on over 870,000 studies from various fields of geology. These data come partly from older databases kept at the Central Geological Archives, at the Geophysics Department and at the PGI – NRI Geological Spatial Information Center, as well as at SEGI – PBG. Part of the data was collected as part of the work on the INFOGEOSKARB system.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS02), Pond, Lake or Reservoir as an Irrigation Source (PLRIS) on agricultural land by county. Pond, Lake or Reservoir as an Irrigation Source are described as an "inland body of water (fresh or salt) of considerable size occupying a basin or hollow on the earth's surface, and which may or may not have a current or single direction of flow." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which PLRIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI d ...

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS01), Wells as an Irrigation Source (WIS) on agricultural land by county. Wells as an Irrigation Source are described as a "hole drilled or bored into the earth providing access to water." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which WIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

The Central Geological Database Geological Collections Subsystem (CBDG) contains data on the collections of the Geological Museum in Warsaw and regional branches of the PGI-NRI. In the Subsystem, these are data on palaeontological, palaeobotanic, mineralogical and petrographic collections collected in the form of specimens, polishes, thin plates and preparations. It contains among others data from the archival database ARCHIMUZ. Since 2006, new information about the collections of the Warsaw Museum and the Upper Silesian Department of PGI–NRI has been added to the subsystem. Substantive supervision over their work is carried out by the Geological Museum of the PGI-NRI and responsible persons in the PGI-NRI branches. Geological Collections are linked to other CBDG subsystems Boreholes and Archival Reports.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP606), Subsurface Drains (SD) on agricultural land by county. Subsurface Drains are described as "a conduit, such as corrugated plastic tubing, tile, or pipe, installed beneath the ground surface to collect and/or convey drainage." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which SD's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

description: This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS04), Stream, Lagoon or Other Waste Waster (not including tailwater recovery) as an Irrigation Source (LWWIS) on agricultural land by county. Stream, Lagoon or Other Waste Waster (not including tailwater recovery) as an Irrigation Source is described as an "impoundment made by excavation or earthfill for biological treatment of animal or other agricultural waste." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which LWWIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.; abstract: This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS04), Stream, Lagoon or Other Waste Waster (not including tailwater recovery) as an Irrigation Source (LWWIS) on agricultural land by county. Stream, Lagoon or Other Waste Waster (not including tailwater recovery) as an Irrigation Source is described as an "impoundment made by excavation or earthfill for biological treatment of animal or other agricultural waste." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which LWWIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS03), Stream, Ditch or Canal as an Irrigation Source (SDCIS) on agricultural land by county. Stream, Ditch or Canal as an Irrigation Source is described as: "Stream : A flow of water in a channel or bed, as a brook, rivulet, or small river. Ditch : A long, narrow trench or furrow dug in the ground, as for irrigation. Canal : An artificial waterway used for irrigation." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which SDCIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIT03), Gravity and Pressure Irrigation Source (GPI) on agricultural land by county. Gravity and Pressure Irrigation Source are described as a "combination of Gravity and Pressure Irrigation." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which GPI's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CPIS05), Combination of Irrigation Sources (CIS) on agricultural land by county. A combination of irrigation sources means one or more sources of irrigation, such as wells, ponds, or streams are used on agricultural land. (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which CIS's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.