From 8d3a772843834853fcc0fbe54dda98562224e0f3 Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Tue, 12 Dec 2023 03:59:39 +0000 Subject: [PATCH] Updated datasets 2023-12-12 UTC --- nasa_cmr_catalog.json | 260 ++++++++++++++++++++++++++++++++++++++++++ nasa_cmr_catalog.tsv | 20 ++++ 2 files changed, 280 insertions(+) diff --git a/nasa_cmr_catalog.json b/nasa_cmr_catalog.json index 102a2d0bc9..2b5b8e5799 100644 --- a/nasa_cmr_catalog.json +++ b/nasa_cmr_catalog.json @@ -3743,6 +3743,136 @@ "description": "The OMPS-NPP L2 NP Ozone (O3) Total Column swath orbital product provides ozone profile retrievals from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Profiler (NP) instrument on the Suomi-NPP satellite in Near Real Time. The V8 ozone profile algorithm relies on nadir profiler measurements made in the 250 to 310 nm range, as well as from measurements from the nadir mapper in the 300 to 380 nm range. Ozone mixing ratios are reported at 15 pressure levels between 50 and 0.5 hPa. Additionally, this data product contains measurements of total ozone, UV aerosol index and reflectivities at 331 and 380 nm. Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-82 to +82 degrees latitude), and there are about 14.5 orbits per day, each has typically 80 profiles. The NP footprint size is 250 km x 250 km. The L2 NP Ozone data are written using the Hierarchical Data Format Version 5 or HDF5.", "license": "not-provided" }, + { + "id": "NRSCC_GLASS_ FAPAR_MODIS_0.05D.v11", + "title": "NRSCC_GLASS_ FAPAR_MODIS_0.05D", + "catalog": "NRSCC", + "state_date": "2010-02-18", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351149-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351149-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_ FAPAR_MODIS_0.05D.v11", + "description": "This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was generated using MODIS products.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_ FAPAR_MODIS_1KM.v11", + "title": "NRSCC_GLASS_ FAPAR_MODIS_1KM", + "catalog": "NRSCC", + "state_date": "2000-02-18", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351155-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351155-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_ FAPAR_MODIS_1KM.v11", + "description": "This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was developed using MODIS datasets.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_ LAI_AVHRR_0.05D.v11", + "title": "NRSCC_GLASS_ LAI_AVHRR_0.05D", + "catalog": "NRSCC", + "state_date": "1981-01-01", + "end_date": "2018-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351175-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351175-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_ LAI_AVHRR_0.05D.v11", + "description": "This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using AVHRR datasets.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_ LAI_MODIS_0.05D.v11", + "title": "NRSCC_GLASS_ LAI_MODIS_0.05D", + "catalog": "NRSCC", + "state_date": "2000-02-18", + "end_date": "", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351151-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351151-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_ LAI_MODIS_0.05D.v11", + "description": "This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using MODIS datasets.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_Albedo_AVHRR.v11", + "title": "NRSCC_GLASS_Albedo_AVHRR", + "catalog": "NRSCC", + "state_date": "2002-01-01", + "end_date": "2015-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351177-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351177-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_Albedo_AVHRR.v11", + "description": "Global high-resolution land surface albedo data from NOAA/AVHRR, generated by Global LAnd Surface Satellite (GLASS) Dataset production team.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_Albedo_MODIS_0.05D.v11", + "title": "NRSCC_GLASS_Albedo_MODIS_0.05D", + "catalog": "NRSCC", + "state_date": "2000-01-01", + "end_date": "2018-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351167-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351167-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_Albedo_MODIS_0.05D.v11", + "description": "The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 0.05 Degree.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_Albedo_MODIS_1KM.v11", + "title": "NRSCC_GLASS_Albedo_MODIS_1KM", + "catalog": "NRSCC", + "state_date": "2000-01-01", + "end_date": "2018-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351152-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351152-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_Albedo_MODIS_1KM.v11", + "description": "The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 1KM.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_BBE_AVHRR.v11", + "title": "NRSCC_GLASS_BBE_AVHRR", + "catalog": "NRSCC", + "state_date": "1982-01-01", + "end_date": "2017-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351148-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351148-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_BBE_AVHRR.v11", + "description": "The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from AVHRR.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_BBE_MODIS_0.05D.v11", + "title": "NRSCC_GLASS_BBE_MODIS_0.05D", + "catalog": "NRSCC", + "state_date": "2000-02-18", + "end_date": "2018-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351185-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351185-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_BBE_MODIS_0.05D.v11", + "description": "The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from MODIS. The horizontal resolution is 0.05 Degree.", + "license": "not-provided" + }, + { + "id": "NRSCC_GLASS_BBE_MODIS_1KM.v11", + "title": "NRSCC_GLASS_BBE_MODIS_1KM", + "catalog": "NRSCC", + "state_date": "2000-02-18", + "end_date": "2018-12-31", + "bbox": "-180, -90, 180, 90", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351153-NRSCC.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2205351153-NRSCC.html", + "href": "https://cmr.earthdata.nasa.gov/stac/NRSCC/collections/NRSCC_GLASS_BBE_MODIS_1KM.v11", + "description": "NRSCC_GLASS_BBE_MODIS_1KM", + "license": "not-provided" + }, { "id": "NSF-ANT05-37371", "title": "A Broadband Seismic Experiment to Image the Lithosphere Beneath the Gamburtsev Mountains and Surrounding Areas, East Antarctica", @@ -4237,6 +4367,136 @@ "description": "The \"1982 Commodity Output by State and Input-Output Sector\" dataset presents estimates of agricultural commodity output in 1982. Consistent with the United Nations Systems of National Accounts proposals, the United States Input-Output (I/O) accounts are constructed using two output measures - commodity output - total economy-wide production of a particular commodity and industry accounts - total production - primary and secondary of a particular industry. Collection Organization: Economic Research Service. Collection Methodology: Data originated from Dept. of Agriculture state production and expense surveys. Collection Frequency: Quinquennial. Update Characteristics: Being update as of 6/27/95 from 1982 data to 1987. There is no guarantee of future updates. STATISTICAL INFORMATION: The data reside in 9 LOTUS 1-2-3 (.WK1) tables. LANGUAGE: English ACCESS/AVAILABILITY: Data Center: USDA Economic Research Service Dissemination Media: Diskette, Internet gopher, Internet home page File Format: ASCII, Lotus/dBase Access Instructions: Call NASS at 1-800-999-6779 for historical series data available on diskette. For historical series data available online, connect to the Internet home page at Cornell University. URL: 'http://usda.mannlib.cornell.edu/usda' Access to the data or reports may be achieved through the ERS-NASS information system: WWW: 'http://usda.mannlib.cornell.edu/usda' Gopher client: 'gopher://gopher.mannlib.cornell.edu:70/' For subscription direct to an e-mail address, send an e-mail message to: usda-reports@usda.mannlib.cornell.edu Type the word \"lists\" (without quotes) in the body of the message.", "license": "not-provided" }, + { + "id": "USGS_DDS_P14_cells", + "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Los Angeles Basin Province", + "catalog": "CEOS_EXTRA", + "state_date": "1990-12-01", + "end_date": "1990-12-01", + "bbox": "-119.63631, 32.7535, -117.52315, 34.17464", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P14_cells", + "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number, type, and name: Number Type Name 1401 conventional Santa Monica Fault System and Las Cienegas Fault and Block 1402 conventional Southwestern Shelf and Adjacent Offshore State Lands 1403 conventional Newport-Inglewood Deformation Zone and Southwestern Flank of Central Syncline 1404 conventional Whittier Fault Zone and Fullerton Embayment 1405 conventional Northern Shelf and Northern Flank of Central Syncline 1406 conventional Anaheim Nose 1407 conventional Chino Marginal Basin, Puente and San Jose Hills, and San Gabriel Valley Marginal Basin", + "license": "not-provided" + }, + { + "id": "USGS_DDS_P16_cells", + "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Salton Trough Province", + "catalog": "CEOS_EXTRA", + "state_date": "1990-12-01", + "end_date": "1990-12-01", + "bbox": "-116.66911, 32.634293, -114.74501, 34.02059", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P16_cells", + "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 16 (Salton Trough) are listed here by play number, type, and name.", + "license": "not-provided" + }, + { + "id": "USGS_DDS_P17_cells", + "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Idaho - Snake River Downwarp Province", + "catalog": "CEOS_EXTRA", + "state_date": "1990-12-01", + "end_date": "1990-12-01", + "bbox": "-117.24303, 41.99332, -111.04548, 49.00115", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P17_cells", + "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number, type, and name: Number Type Name 1701 conventional Miocene Lacustrine (Lake Bruneau) 1702 conventional Pliocene Lacustrine (Lake Idaho) 1703 conventional Pre-Miocene 1704 conventional Older Tertiary", + "license": "not-provided" + }, + { + "id": "USGS_DDS_P19_cells", + "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Eastern Great Basin Province", + "catalog": "CEOS_EXTRA", + "state_date": "1990-12-01", + "end_date": "1990-12-01", + "bbox": "-117.02622, 35.002083, -111.170425, 43.022377", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P19_cells", + "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number, type, and name: Number Type Name 1901 conventional Unconformity \"A\" 1902 conventional Late Paleozoic 1903 conventional Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 conventional Younger Tertiary Basins 1906 conventional Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 conventional Sevier Frontal Zone", + "license": "not-provided" + }, + { + "id": "USGS_DDS_P2_cells", + "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Alaska Province", + "catalog": "CEOS_EXTRA", + "state_date": "1990-12-01", + "end_date": "1990-12-01", + "bbox": "-173.22636, 58.49761, -140.99017, 68.01999", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_DDS_P2_cells", + "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 2 (Central Alaska) are listed here by play number, type, and name: Number Type Name 201 conventional Central Alaska Cenozoic Gas 202 conventional Central Alaska Mesozoic Gas 203 conventional Central Alaska Paleozoic Oil 204 conventional Kandik Pre-Mid-Cretaceous Strata 205 conventional Kandik Upper Cretaceous and Tertiary Non-Marine Stata", + "license": "not-provided" + }, + { + "id": "USGS_P-11_cells", + "title": "1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Coastal Province", + "catalog": "CEOS_EXTRA", + "state_date": "1990-12-01", + "end_date": "1990-12-01", + "bbox": "-123.80987, 34.66294, -118.997696, 39.082233", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_P-11_cells", + "description": "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 11 (Central Coastal) are listed here by play number, type, and name: Number Type Name 1101 conventional Point Arena Oil 1102 conventional Point Reyes Oil 1103 conventional Pescadero Oil 1104 conventional La Honda Oil 1105 conventional Bitterwater Oil 1106 conventional Salinas Oil 1107 conventional Western Cuyama Basin 1109 conventional Cox Graben", + "license": "not-provided" + }, + { + "id": "USGS_SOFIA_eco_hist_db1995-2007.vversion 7", + "title": "1995 - 2007 Ecosystem History of South Florida's Estuaries Database version 7", + "catalog": "CEOS_EXTRA", + "state_date": "1994-09-27", + "end_date": "2007-04-03", + "bbox": "-81.83, 24.75, -80, 26.5", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_SOFIA_eco_hist_db1995-2007.vversion 7", + "description": "The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water chemistry, floral and faunal data, etc.), and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Data are available for modern sites and cores in the general areas of Florida Bay, Biscayne Bay, and the southwest (Florida) coastal mangrove estuaries. Specific sites in the Florida Bay area include Taylor Creek, Bob Allen Key, Russell Bank, Pass Key, Whipray Basin, Rankin Bight, park Key, and Mud Creek core). Specific Biscayne Bay sites include Manatee Bay, Featherbed Bank, Card bank, No Name Bank, Middle Key, Black Point North, and Chicken Key. Sites on the southwest coast include Alligator Bay, Big Lostmans Bay, Broad River Bay, Roberts River mouth, Tarpon Bay, Lostmans River First and Second Bays, Harney River, Shark River near entrance to Ponce de Leon Bay, and Shark River channels. Modern field data contains (1) general information about the site, description, latitude and longitude, date of data collection, (2) water chemistry information, and (3) descriptive text of fauna and flora observed at the site. Core data contain either percent abundance data or actual counts of the distribution of mollusks, ostracodes, forams, and pollen within the cores collected in the estuaries. For some cores dinocyst or diatom data may be available.", + "license": "not-provided" + }, + { + "id": "USGS_cont1992", + "title": "1992 Water-Table Contours of the Mojave River Ground-Water Basin, San Bernardino County, California", + "catalog": "CEOS_EXTRA", + "state_date": "1970-01-01", + "end_date": "", + "bbox": "-117.652695, 34.364513, -116.55357, 35.081955", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553864-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231553864-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_cont1992", + "description": "This data set consists of digital water-table contours for the Mojave River Basin. The U.S. Geological Survey, in cooperation with the Mojave Water Agency, constructed a water-table map of the Mojave River ground-water basin for ground-water levels measured in November 1992. Water-level data were collected from approximately 300 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,200 to 1,600 feet above sea level. [Summary provided by the USGS.]", + "license": "not-provided" + }, + { + "id": "USGS_cont1994", + "title": "1994 Water-Table Contours of the Morongo Ground-Water Basin, San Bernardino County, California", + "catalog": "CEOS_EXTRA", + "state_date": "1970-01-01", + "end_date": "", + "bbox": "-117.07194, 34.095333, -115.98976, 34.64026", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/USGS_cont1994", + "description": "This data set consists of digital water-table contours for the Morongo Basin. The U.S. Geological Survey constructed a water-table map of the Morongo ground-water basin for ground-water levels measured during the period January-October 1994. Water-level data were collected from 248 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,400 to 1,500 feet above sea level. [Summary provided by the USGS.]", + "license": "not-provided" + }, + { + "id": "UTC_1990countyboundaries", + "title": "1990 County Boundaries of the United States", + "catalog": "CEOS_EXTRA", + "state_date": "1972-01-01", + "end_date": "1990-12-31", + "bbox": "-177.1, 13.71, -61.48, 76.63", + "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550562-CEOS_EXTRA.json", + "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2231550562-CEOS_EXTRA.html", + "href": "https://cmr.earthdata.nasa.gov/stac/CEOS_EXTRA/collections/UTC_1990countyboundaries", + "description": "This data set portrays the 1990 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The data set was created by extracting county polygon features from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey. These files were then merged into a single file and the boundaries were modified to what they were in 1990. This is a revised version of the March 2000 data set.", + "license": "not-provided" + }, { "id": "WV01_Pan_L1B.v1", "title": "WorldView-1 Level 1B Panchromatic Satellite Imagery", diff --git a/nasa_cmr_catalog.tsv b/nasa_cmr_catalog.tsv index b2d474681c..b129795e61 100644 --- a/nasa_cmr_catalog.tsv +++ b/nasa_cmr_catalog.tsv @@ -287,6 +287,16 @@ NMMIEAI-L2-NRT.v2 OMPS-NPP L2 NM Aerosol Index swath orbital NRT OMINRT 2011-11- NMSO2-PCA-L2-NRT.v2 OMPS/NPP PCA SO2 Total Column 1-Orbit L2 Swath 50x50km NRT OMINRT 2011-10-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1439293808-OMINRT.json The OMPS-NPP L2 NM Sulfur Dioxide (SO2) Total and Tropospheric Column swath orbital collection 2 version 2.0 product contains the retrieved sulfur dioxide (SO2) measured by the Ozone Mapping and Profiling Suite (OMPS) Nadir-Mapper (NM) sensor on the Suomi-NPP satellite. A Principle Component Analysis (PCA) algorithm is used to retrieve the SO2 total column amount and column amounts in the lower (centered at 2.5 km), middle (centered at 7.5 km) and upper (centered at 11 km) troposphere, as well as the lower stratosphere (centered at 16 km). Each granule contains data from the daylight portion for a single orbit or about 50 minutes. Spatial coverage is global (-90 to 90 degrees latitude), and there are about 14 orbits per day each with a swath width of 2600 km. There are 35 pixels in the cross-track direction, with a pixel resolution of about 50 km x 50 km at nadir. The files are written using the Hierarchical Data Format Version 5 or HDF5. not-provided NMTO3NRT.v2 OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital NRT OMINRT 2011-10-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1439272084-OMINRT.json The OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital product provides total ozone measurements from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Mapper (NM) instrument on the Suomi-NPP satellite.The total column ozone amount is derived from normalized radiances using 2 wavelength pairs 317.5 and 331.2 nm under most conditions, and 331.2 and 360 nm for high ozone and high solar zenith angle conditions. Additionally, this data product contains measurements of UV aerosol index and reflectivity at 331 nm.Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-90 to 90 degrees latitude), and there are about 14.5 orbits per day, each has typically 400 swaths. The swath width of the NM is about 2800 km with 36 scenes, or pixels, with a footprint size of 50 km x 50 km at nadir. The L2 NM Ozone data are written using the Hierarchical Data Format Version 5 or HDF5. not-provided NPBUVO3-L2-NRT.v2 OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital NRT OMINRT 2011-10-28 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C1439296101-OMINRT.json The OMPS-NPP L2 NP Ozone (O3) Total Column swath orbital product provides ozone profile retrievals from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Profiler (NP) instrument on the Suomi-NPP satellite in Near Real Time. The V8 ozone profile algorithm relies on nadir profiler measurements made in the 250 to 310 nm range, as well as from measurements from the nadir mapper in the 300 to 380 nm range. Ozone mixing ratios are reported at 15 pressure levels between 50 and 0.5 hPa. Additionally, this data product contains measurements of total ozone, UV aerosol index and reflectivities at 331 and 380 nm. Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-82 to +82 degrees latitude), and there are about 14.5 orbits per day, each has typically 80 profiles. The NP footprint size is 250 km x 250 km. The L2 NP Ozone data are written using the Hierarchical Data Format Version 5 or HDF5. not-provided +NRSCC_GLASS_ FAPAR_MODIS_0.05D.v11 NRSCC_GLASS_ FAPAR_MODIS_0.05D NRSCC 2010-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351149-NRSCC.json This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was generated using MODIS products. not-provided +NRSCC_GLASS_ FAPAR_MODIS_1KM.v11 NRSCC_GLASS_ FAPAR_MODIS_1KM NRSCC 2000-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351155-NRSCC.json This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was developed using MODIS datasets. not-provided +NRSCC_GLASS_ LAI_AVHRR_0.05D.v11 NRSCC_GLASS_ LAI_AVHRR_0.05D NRSCC 1981-01-01 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351175-NRSCC.json This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using AVHRR datasets. not-provided +NRSCC_GLASS_ LAI_MODIS_0.05D.v11 NRSCC_GLASS_ LAI_MODIS_0.05D NRSCC 2000-02-18 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351151-NRSCC.json This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using MODIS datasets. not-provided +NRSCC_GLASS_Albedo_AVHRR.v11 NRSCC_GLASS_Albedo_AVHRR NRSCC 2002-01-01 2015-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351177-NRSCC.json Global high-resolution land surface albedo data from NOAA/AVHRR, generated by Global LAnd Surface Satellite (GLASS) Dataset production team. not-provided +NRSCC_GLASS_Albedo_MODIS_0.05D.v11 NRSCC_GLASS_Albedo_MODIS_0.05D NRSCC 2000-01-01 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351167-NRSCC.json The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 0.05 Degree. not-provided +NRSCC_GLASS_Albedo_MODIS_1KM.v11 NRSCC_GLASS_Albedo_MODIS_1KM NRSCC 2000-01-01 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351152-NRSCC.json The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 1KM. not-provided +NRSCC_GLASS_BBE_AVHRR.v11 NRSCC_GLASS_BBE_AVHRR NRSCC 1982-01-01 2017-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351148-NRSCC.json The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from AVHRR. not-provided +NRSCC_GLASS_BBE_MODIS_0.05D.v11 NRSCC_GLASS_BBE_MODIS_0.05D NRSCC 2000-02-18 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351185-NRSCC.json The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from MODIS. The horizontal resolution is 0.05 Degree. not-provided +NRSCC_GLASS_BBE_MODIS_1KM.v11 NRSCC_GLASS_BBE_MODIS_1KM NRSCC 2000-02-18 2018-12-31 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2205351153-NRSCC.json NRSCC_GLASS_BBE_MODIS_1KM not-provided NSF-ANT05-37371 A Broadband Seismic Experiment to Image the Lithosphere Beneath the Gamburtsev Mountains and Surrounding Areas, East Antarctica AMD_USAPDC 2007-10-01 2013-09-30 40, -84, 140, -76 https://cmr.earthdata.nasa.gov/search/concepts/C2532069799-AMD_USAPDC.json This award supports a seismological study of the Gamburtsev Subglacial Mountains (GSM), a Texas-sized mountain range buried beneath the ice sheets of East Antarctica. The project will perform a passive seismic experiment deploying twenty-three seismic stations over the GSM to characterize the structure of the crust and upper mantle, and determine the processes driving uplift. The outcomes will also offer constraints on the terrestrial heat flux, a key variable in modeling ice sheet formation and behavior. Virtually unexplored, the GSM represents the largest unstudied area of crustal uplift on earth. As well, the region is the starting point for growth of the Antarctic ice sheets. Because of these outstanding questions, the GSM has been identified by the international Antarctic science community as a research focus for the International Polar Year (2007-2009). In addition to this seismic experiment, NSF is also supporting an aerogeophysical survey of the GSM under award number 0632292. Major international partners in the project include Germany, China, Australia, and the United Kingdom. For more information see IPY Project #67 at IPY.org. In terms of broader impacts, this project also supports postdoctoral and graduate student research, and various forms of outreach. not-provided NSF-ANT10-43485.v1 A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea AMD_USAPDC 2011-07-01 2015-06-30 -160, -78, -150, -68 https://cmr.earthdata.nasa.gov/search/concepts/C2532069944-AMD_USAPDC.json This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. not-provided NSF-ANT10-43517 A new reconstruction of the last West Antarctic Ice Sheet deglaciation in the Ross Sea AMD_USAPDC 2011-07-01 2015-06-30 163.5, -78.32, 165.35, -77.57 https://cmr.earthdata.nasa.gov/search/concepts/C2532070432-AMD_USAPDC.json This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. not-provided @@ -325,6 +335,16 @@ USAP-1744755.v1 A mechanistic study of bio-physical interaction and air-sea carb USAP-1744989.v1 A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins AMD_USAPDC 2018-07-15 2022-06-30 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2705787178-AMD_USAPDC.json This project on emperor penguin populations will quantify penguin presence/absence, and colony size and trajectory, across the entire Antarctic continent using high-resolution satellite imagery. For a subset of the colonies, population estimates derived from high-resolution satellite images will be compared with those determined by aerial surveys - these results have been uploaded to MAPPPD (penguinmap.com) and are freely available for use. This validated information will be used to determine population estimates for all emperor penguin colonies through iterations of supervised classification and maximum likelihood calculations on the high-resolution imagery. The effect of spatial, geophysical, and environmental variables on population size and decadal-scale trends will be assessed using generalized linear models. This research will result in a first ever empirical result for emperor penguin population trends and habitat suitability, and will leverage currently-funded NSF infrastructure and hosting sites to publish results in near-real time to the public. not-provided USAP-2130663.v1 2021 Antarctic Subsea Cable Workshop: High-Speed Connectivity Needs to Advance US Antarctic Science AMD_USAPDC 2021-06-01 2023-05-31 -180, -90, 180, -60 https://cmr.earthdata.nasa.gov/search/concepts/C2556670196-AMD_USAPDC.json Current networking capacity at McMurdo Station is insufficient to even be considered broadband, with a summer population of up to 1000 people sharing what is equivalent to the connection enjoyed by a typical family of three in the United States. The changing Antarctic ice sheets and Southern Ocean are large, complex systems that require cutting edge technology to do cutting edge research, with remote technology becoming increasingly useful and even necessary to monitor changes at sufficient spatial and temporal scales. Antarctic science also often involves large data-transfer needs not currently met by existing satellite communication infrastructure. This workshop will gather representatives from across Antarctic science disciplinesfrom astronomy to zoologyas well as research and education networking experts to explore the scientific advances that would be enabled through dramatically increased real-time network connectivity, and also consider opportunities for subsea cable instrumentation. This workshop will assess the importance of a subsea fiber optic cable for high-capacity real-time connectivity in the US Antarctic Program, which is at the forefront of some of the greatest climate-related challenges facing our planet. The workshop will: (1) document unmet or poorly met current scientific and logistic needs for connectivity; (2) explore connectivity needs for planned future research and note the scientific advances that would be possible if the full value of modern cyberinfrastructure-empowered research could be brought to the Antarctic research community; and (3) identify scientific opportunities in planning a fully instrumented communication cable as a scientific observatory. Due to the ongoing COVID-19 pandemic, the workshop will be hosted and streamed online. While the workshop will be limited to invited personnel in order to facilitate a collaborative working environment, broad community input will be sought via survey and via comment on draft outputs. A workshop summary document and report will be delivered to NSF. Increasing US Antarctic connectivity by orders of magnitude will be transformative for science and logistics, and it may well usher in a new era of Antarctic science that is more accessible, efficient and sustainable. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria. not-provided USDA0295 1982 Commodity Output by State and Input-Output Sector SCIOPS 1991-01-01 1992-12-31 -177.1, 13.71, -61.48, 76.63 https://cmr.earthdata.nasa.gov/search/concepts/C1214610401-SCIOPS.json "The ""1982 Commodity Output by State and Input-Output Sector"" dataset presents estimates of agricultural commodity output in 1982. Consistent with the United Nations Systems of National Accounts proposals, the United States Input-Output (I/O) accounts are constructed using two output measures - commodity output - total economy-wide production of a particular commodity and industry accounts - total production - primary and secondary of a particular industry. Collection Organization: Economic Research Service. Collection Methodology: Data originated from Dept. of Agriculture state production and expense surveys. Collection Frequency: Quinquennial. Update Characteristics: Being update as of 6/27/95 from 1982 data to 1987. There is no guarantee of future updates. STATISTICAL INFORMATION: The data reside in 9 LOTUS 1-2-3 (.WK1) tables. LANGUAGE: English ACCESS/AVAILABILITY: Data Center: USDA Economic Research Service Dissemination Media: Diskette, Internet gopher, Internet home page File Format: ASCII, Lotus/dBase Access Instructions: Call NASS at 1-800-999-6779 for historical series data available on diskette. For historical series data available online, connect to the Internet home page at Cornell University. URL: 'http://usda.mannlib.cornell.edu/usda' Access to the data or reports may be achieved through the ERS-NASS information system: WWW: 'http://usda.mannlib.cornell.edu/usda' Gopher client: 'gopher://gopher.mannlib.cornell.edu:70/' For subscription direct to an e-mail address, send an e-mail message to: usda-reports@usda.mannlib.cornell.edu Type the word ""lists"" (without quotes) in the body of the message." not-provided +USGS_DDS_P14_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Los Angeles Basin Province CEOS_EXTRA 1990-12-01 1990-12-01 -119.63631, 32.7535, -117.52315, 34.17464 https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number, type, and name: Number Type Name 1401 conventional Santa Monica Fault System and Las Cienegas Fault and Block 1402 conventional Southwestern Shelf and Adjacent Offshore State Lands 1403 conventional Newport-Inglewood Deformation Zone and Southwestern Flank of Central Syncline 1404 conventional Whittier Fault Zone and Fullerton Embayment 1405 conventional Northern Shelf and Northern Flank of Central Syncline 1406 conventional Anaheim Nose 1407 conventional Chino Marginal Basin, Puente and San Jose Hills, and San Gabriel Valley Marginal Basin not-provided +USGS_DDS_P16_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Salton Trough Province CEOS_EXTRA 1990-12-01 1990-12-01 -116.66911, 32.634293, -114.74501, 34.02059 https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 16 (Salton Trough) are listed here by play number, type, and name. not-provided +USGS_DDS_P17_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Idaho - Snake River Downwarp Province CEOS_EXTRA 1990-12-01 1990-12-01 -117.24303, 41.99332, -111.04548, 49.00115 https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number, type, and name: Number Type Name 1701 conventional Miocene Lacustrine (Lake Bruneau) 1702 conventional Pliocene Lacustrine (Lake Idaho) 1703 conventional Pre-Miocene 1704 conventional Older Tertiary not-provided +USGS_DDS_P19_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Eastern Great Basin Province CEOS_EXTRA 1990-12-01 1990-12-01 -117.02622, 35.002083, -111.170425, 43.022377 https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.json "The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number, type, and name: Number Type Name 1901 conventional Unconformity ""A"" 1902 conventional Late Paleozoic 1903 conventional Early Tertiary - Late Cretaceous Sheep Pass and Equivalents 1905 conventional Younger Tertiary Basins 1906 conventional Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt 1907 conventional Sevier Frontal Zone" not-provided +USGS_DDS_P2_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Alaska Province CEOS_EXTRA 1990-12-01 1990-12-01 -173.22636, 58.49761, -140.99017, 68.01999 https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 2 (Central Alaska) are listed here by play number, type, and name: Number Type Name 201 conventional Central Alaska Cenozoic Gas 202 conventional Central Alaska Mesozoic Gas 203 conventional Central Alaska Paleozoic Oil 204 conventional Kandik Pre-Mid-Cretaceous Strata 205 conventional Kandik Upper Cretaceous and Tertiary Non-Marine Stata not-provided +USGS_P-11_cells 1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Coastal Province CEOS_EXTRA 1990-12-01 1990-12-01 -123.80987, 34.66294, -118.997696, 39.082233 https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.json The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment. Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994. Oil and gas plays within province 11 (Central Coastal) are listed here by play number, type, and name: Number Type Name 1101 conventional Point Arena Oil 1102 conventional Point Reyes Oil 1103 conventional Pescadero Oil 1104 conventional La Honda Oil 1105 conventional Bitterwater Oil 1106 conventional Salinas Oil 1107 conventional Western Cuyama Basin 1109 conventional Cox Graben not-provided +USGS_SOFIA_eco_hist_db1995-2007.vversion 7 1995 - 2007 Ecosystem History of South Florida's Estuaries Database version 7 CEOS_EXTRA 1994-09-27 2007-04-03 -81.83, 24.75, -80, 26.5 https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.json The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water chemistry, floral and faunal data, etc.), and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Data are available for modern sites and cores in the general areas of Florida Bay, Biscayne Bay, and the southwest (Florida) coastal mangrove estuaries. Specific sites in the Florida Bay area include Taylor Creek, Bob Allen Key, Russell Bank, Pass Key, Whipray Basin, Rankin Bight, park Key, and Mud Creek core). Specific Biscayne Bay sites include Manatee Bay, Featherbed Bank, Card bank, No Name Bank, Middle Key, Black Point North, and Chicken Key. Sites on the southwest coast include Alligator Bay, Big Lostmans Bay, Broad River Bay, Roberts River mouth, Tarpon Bay, Lostmans River First and Second Bays, Harney River, Shark River near entrance to Ponce de Leon Bay, and Shark River channels. Modern field data contains (1) general information about the site, description, latitude and longitude, date of data collection, (2) water chemistry information, and (3) descriptive text of fauna and flora observed at the site. Core data contain either percent abundance data or actual counts of the distribution of mollusks, ostracodes, forams, and pollen within the cores collected in the estuaries. For some cores dinocyst or diatom data may be available. not-provided +USGS_cont1992 1992 Water-Table Contours of the Mojave River Ground-Water Basin, San Bernardino County, California CEOS_EXTRA 1970-01-01 -117.652695, 34.364513, -116.55357, 35.081955 https://cmr.earthdata.nasa.gov/search/concepts/C2231553864-CEOS_EXTRA.json This data set consists of digital water-table contours for the Mojave River Basin. The U.S. Geological Survey, in cooperation with the Mojave Water Agency, constructed a water-table map of the Mojave River ground-water basin for ground-water levels measured in November 1992. Water-level data were collected from approximately 300 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,200 to 1,600 feet above sea level. [Summary provided by the USGS.] not-provided +USGS_cont1994 1994 Water-Table Contours of the Morongo Ground-Water Basin, San Bernardino County, California CEOS_EXTRA 1970-01-01 -117.07194, 34.095333, -115.98976, 34.64026 https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.json This data set consists of digital water-table contours for the Morongo Basin. The U.S. Geological Survey constructed a water-table map of the Morongo ground-water basin for ground-water levels measured during the period January-October 1994. Water-level data were collected from 248 wells to construct the contours. The water-table contours were digitized from the paper map which was published at a scale of 1:125,000. The contour interval ranges from 3,400 to 1,500 feet above sea level. [Summary provided by the USGS.] not-provided +UTC_1990countyboundaries 1990 County Boundaries of the United States CEOS_EXTRA 1972-01-01 1990-12-31 -177.1, 13.71, -61.48, 76.63 https://cmr.earthdata.nasa.gov/search/concepts/C2231550562-CEOS_EXTRA.json This data set portrays the 1990 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The data set was created by extracting county polygon features from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey. These files were then merged into a single file and the boundaries were modified to what they were in 1990. This is a revised version of the March 2000 data set. not-provided WV01_Pan_L1B.v1 WorldView-1 Level 1B Panchromatic Satellite Imagery CSDA 2007-10-10 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497387766-CSDA.json The WorldView-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Panchromatic imagery is collected by the DigitalGlobe WorldView-1 satellite using the WorldView-60 camera across the global land surface from September 2007 to the present. Data have a spatial resolution of 0.5 meters at nadir and a temporal resolution of approximately 1.7 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided WV02_MSI_L1B.v1 WorldView-2 Level 1B Multispectral 8-Band Satellite Imagery CSDA 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497404794-CSDA.json The WorldView-2 Level 1B Multispectral 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. It has a spatial resolution of 1.85m at nadir and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided WV02_Pan_L1B.v1 WorldView-2 Level 1B Panchromatic Satellite Imagery CSDA 2009-10-08 -180, -90, 180, 90 https://cmr.earthdata.nasa.gov/search/concepts/C2497398128-CSDA.json The WorldView-2 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program. not-provided