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51. Gridded Population of the World, Version 4 (GPWv4): Data Quality Indicators [CIESIN_SEDAC_GPWv4_DQI_4.0]
The Gridded Population of the World, Version 4 (GPWv4): Data Quality Indicators consist of three data layers created to provide additional information about the quality of input population data and ...


52. Gridded Population of the World, Version 4 (GPWv4): Data Quality Indicators, Revision 10 [CIESIN_SEDAC_GPWv4_DQI_R10_4.10]
The Gridded Population of the World, Version 4 (GPWv4): Data Quality Indicators, Revision 10 consists of three data layers created to provide context for the population count and density rasters, ...


53. Gridded Population of the World, Version 4 (GPWv4): Data Quality Indicators, Revision 11 [CIESIN_SEDAC_GPWv4_DQI_R11_4.11]
The Gridded Population of the World, Version 4 (GPWv4): Data Quality Indicators, Revision 11 consists of three data layers created to provide context for the population count and density rasters, ...


54. Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid [CIESIN_SEDAC_GPWv4_NATIDEN_4.0]
The Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid is derived from the input census units to create a raster surface where pixels (grid cells) that cover the same census ...


55. Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid, Revision 10 [CIESIN_SEDAC_GPWv4_NATIDEN_R10_4.10]
The Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid, Revision 10 is a raster representation of nation-states in GPWv4 for use in aggregating population data. This data ...


56. Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid, Revision 11 [CIESIN_SEDAC_GPWv4_NATIDEN_R11_4.11]
The Gridded Population of the World, Version 4 (GPWv4): National Identifier Grid, Revision 11 is a raster representation of nation-states in GPWv4 for use in aggregating population data. This data ...


57. Gridded Population of the World, Version 4 (GPWv4): Population Count [CIESIN_SEDAC_GPWv4_POPCOUNT_4.0]
The Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals consists of estimates of human population consistent with national ...


58. Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals [CIESIN_SEDAC_GPWv4_APCT_WPP_2015_4.0]
The Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals consists of estimates of human population consistent with national ...


59. Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 10 [CIESIN_SEDAC_GPWv4_APCT_WPP_2015_R10_4.10]
The Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 10 consists of estimates of human population (number of ...


60. Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 11 [CIESIN_SEDAC_GPWv4_APCT_WPP_2015_R11_4.11]
The Gridded Population of the World, Version 4 (GPWv4): Population Count Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 11 consists of estimates of human population (number of ...


61. Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 10 [CIESIN_SEDAC_GPWv4_POPCOUNT_R10_4.10]
The Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 10 consists of estimates of human population (number of persons per pixel), consistent with national censuses and ...


62. Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11 [CIESIN_SEDAC_GPWv4_POPCOUNT_R11_4.11]
The Gridded Population of the World, Version 4 (GPWv4): Population Count, Revision 11 consists of estimates of human population (number of persons per pixel), consistent with national censuses and ...


63. Gridded Population of the World, Version 4 (GPWv4): Population Density [CIESIN_SEDAC_GPWv4_POPDENS_4.0]
The Gridded Population of the World, Version 4 (GPWv4): Population Density consists of estimates of human population density based on counts consistent with national censuses and population registers, ...


64. Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals [CIESIN_SEDAC_GPWv4_APDENS_WPP_2015_4.0]
The Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision of UN WPP Country Totals consists of estimates of human population density, based on counts ...


65. Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 10 [CIESIN_SEDAC_GPWv4_APDENS_WPP_2015_R10_4.10]
The Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 10 consists of estimates of human population density (number ...


66. Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11 [CIESIN_SEDAC_GPWv4_APDENS_WPP_2015_R11_4.11]
The Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision of UN WPP Country Totals, Revision 11 consists of estimates of human population density (number ...


67. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 10 [CIESIN_SEDAC_GPWv4_POPDENS_R10_4.10]
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 10 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent ...


68. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 [CIESIN_SEDAC_GPWv4_POPDENS_R11_4.11]
The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent ...


69. ISLSCP II Carbon Dioxide Emissions from Fossil Fuels, Cement, and Gas Flaring [ISLSCP_CO2_EMISSIONS_1021_1]
This data set contains decadal (1950, 1960, 1970, 1980, 1990 and 1995) estimates of gridded fossil-fuel emissions, expressed in 1,000 metric tons C per year per one degree latitude by one degree longitude. ...


70. ISLSCP II Global Gridded Gross Domestic Product (GDP), 1990 [ISLSCP_II_GDP_974_1]
The data sets in this directory were provided by Mr. Gregory Yetman and Drs. Stuart Gaffin and Deborah Balk from the Center for International Earth Science Information Network (CIESIN) at Columbia ...


71. ISLSCP II Global Population of the World [ISLSCP_II_GPOP_975_1]
Global Population of the World (GPW) translates census population data to a latitude-longitude grid so that population data may be used in cross-disciplinary studies. There are three data files with ...


72. LBA Regional Boundary for the Legal Amazon of Brazil, 8-km [lba_legal_amazon_671_1]
The Legal Amazon of Brazil is defined by law to include the states of Acre, Amapa, Amazonas, Para, Rondonia, Roraima, Mato Grosso, Maranhao, and Tocantins [Fundacao Instituto Brasileiro de Geografia ...


73. LBA-ECO CD-04 Logging Damage, km 83 Tower Site, Tapajos National Forest, Brazil [CD04_LOGGING_DAMAGE_1038_1]
This data set contains the results of a survey of logging damage in a 18 ha plot (300 m N-S, 600 m E-W) east (upwind) of the eddy flux tower at km 83, Tapajos National Forest, Para, Brazil. Data collected ...


74. LBA-ECO CD-05 Forest Understory Fuel Loads, Paragominas, Para, Brazil: 2001 [CD05_FUEL_LOADS_1233_1]
This data set contains estimates of understory fuel loads (forest litter) at six locations near Paragominas in Northeastern Amazonia. Samples were collected from three different forest conditions: ...


75. LBA-ECO CD-05 Understory Fuel Stick Moisture, km 67 Site, Para, Brazil: 1998-2000 [CD05_REE_FUEL_STICK_MOISTURE_1232_1]
This data set contains moisture content measurements for fuel sticks located in the forest understory of the rainfall exclusion experimental site, Tapajos National Forest, Para, Brazil. The mean and ...


76. LBA-ECO CD-06 Physical, Political, and Hydrologic Maps, Ji-Parana River Basin, Brazil [CD06_PHYSICAL_TEMPLATE_1090_1]
This data set contains physical, hydrologic, political, demographic, and societal maps for the Ji-Parana River Basin, in the state of Rondonia, Brazil. These data were used as base information in ...


77. LBA-ECO CD-11 Biophysical Measurements of Logged and Fire-Treated Forests, Brazil [CD11_FOREST_DEGRADATION_1118_1]
This data set reports the results of vegetation field surveys that measured tree height and diameter at breast height (DBH) in defined size classes at three study sites -- Santarem, Para; Paragominas, ...


78. LBA-ECO CD-34 Landsat Fractional Land Cover Analysis, Manaus, Brazil: 2004-2005 [CD34_AMAZON_LANDSAT_1176_1]
This data set provides the results of fractional land cover analysis for nonphotosynthetic vegetation (NPV) from two Landsat images of Manaus, Brazil, for October 14, 2004, and for July 29, 2005. ...


79. LBA-ECO LC-01 City, Community, and Road Maps, Northern Ecuadorian Amazon: 1990-2002 [LC01_CITIES_COMMUNITIES_ROADS_1058_1]
This data set contains the boundaries of the four major cities in the Northern Ecuadorian Amazon, the locations of primary communities in the colonist settlement area, and the locations of the road ...


80. LBA-ECO LC-01 Landsat TM Land Use/Land Cover, Northern Ecuadorian Amazon: 1986-1999 [LC01_LULC_CLASSES_ECUADOR_1084_1]
This data set contains Landsat TM imagery for the years 1986, 1989, 1996, and 1999, that have been classified into four land use/land cover (LULC) classes: Forest, Non-Forest Vegetation, Urban/Barren, ...


81. LBA-ECO LC-01 National, Provincial, and Park Boundaries, Ecuador [LC01_BOUNDARIES_ECUADOR_1057_1]
This data set contains the national and provincial boundaries of Ecuador as well as the boundaries of two national parks: the Cuyabeno Wildlife Reserve and the Yasuni National Park. There are four ...


82. LBA-ECO LC-01 Northern Ecuadorian Amazon Household Surveys, Summary Results: 1999 [LC01_HOUSEHOLDS_NEC_1052_1]
This data set reports summary statistics from socioeconomic and demographic surveys administered to the male and female heads of household on 767 farm plots. The surveys were performed in the provinces ...


83. LBA-ECO LC-01 Topographic Data for Intensive Study Areas, Northern Ecuadorian Amazon [LC01_TOPOGRAPHY_ECUADOR_1082_1]
This data set contains topographic/geomorphological data associated with the four Intensive Study Areas (ISAs) in the Northern Ecuadorian Amazon (northern Oriente) that are part of the University ...


84. LBA-ECO LC-02 Forest Flammability Data, Catuaba Experimental Farm, Acre, Brazil: 1998 [LC02_FOREST_FLAMMABILITY_ACRE_1089_1]
This data set provides the results of controlled burns conducted to assess the flammability of mature forests on the Catuaba Experimental Farm of the Federal University of Acre - Rio Branco, Acre, ...


85. LBA-ECO LC-02 GOES-08 Hot Pixel Data from Acre, Brazil: 1998, 2000, and 2001 [LC02_GOES_HOTPIXEL_ACRE_1092_1]
This data set provides hot pixel data, as an indicator of fires that were detected by the GOES-8 satellite for the state of Acre, Brazil. Image data were collected for extended periods over the course ...


86. LBA-ECO LC-05 Biomass and Soil Properties of Fragmented Forests, Amazonas, Brazil [LC05_BDFF_BIOMASS_SOILS_1040_1]
This data set reports (1) total aboveground dry biomass based on detailed estimates of all live and dead plant material, (2) results from repeated surveys of aboveground biomass allowing the calculation ...


87. LBA-ECO LC-08 Passive Ground-based Fire Data, Para and Mato Grosso Brazil: 2001-2002 [LC08_FIRE_OBSERVATIONS_1095_1]
This data set reports observations of fires in the vicinity of Maraba, Para, Brazil, from November 3-5th, 2001, and in Mato Grosso, Brazil, between Cuiaba and Alta Floresta, for July 12-15th, 2002. ...


88. LBA-ECO LC-09 Land Cover Transitions Maps for Study Sites in Para, Brazil: 1970-2001 [LC09_TRANSITION_MATRICES_1098_1]
This data set includes classified land cover transition maps at 30-m resolution derived from Landsat TM, MSS, ETM+ imagery and aerial photos of Altamira, Santarem, and Ponta de Pedras, in the state ...


89. LBA-ECO LC-09 Landsat TM and ETM+ Data, Sites in Rondonia and Para, Brazil: 1985-2004 [LC09_LANDSAT_987_1]
This data set includes 15 zipped archives of rectified .tif format Landsat 5 TM and Landsat 7 ETM+ scenes from near the study sites of Altamira, Santarem, Ponta de Pedras, and Bragantina in the state ...


90. LBA-ECO LC-09 Natural, Infrastructure, and Boundary Features, Amazonian Sites, Brazil [LBA_LC09_GIS_STUDY_AREAS_986_1]
This data set includes 16 zipped archives of shapefiles of cities, rivers and streams, roads, and study area boundaries of several Amazonian study sites: Altamira, Santarem, Bragantina, and Ponta ...


91. LBA-ECO LC-13 GIS Coverages of Logged Areas, Cauaxi, Para, Brazil: 1996, 1998 [LC13CAUAXI_890_1]
This data set contains GIS coverage constructed from measurements taken of four logged areas in Cauaxi, Para, Brazil. Logged areas were selectively harvested either using conventional logging techniques ...


92. LBA-ECO LC-13 GIS Coverages of Logged Areas, Tapajos Forest, Para, Brazil: 1996, 1998 [LC13TAPAJOS_893_1]
This data set contains GIS coverages constructed from measurements taken of logged areas in the Tapajos National Forest region of Para, Brazil in 1996 and 1998 (Asner et al., 2004). Coverages include ...


93. LBA-ECO LC-21 Selective Logging Activity in the Brazilian Amazon: 1999-2002 [LC21_SELECTIVE_LOGGING_1172_1]
This data set provides the results of analyses of Landsat Enhanced Thematic Mapper Plus (ETM+) images for selective logging activity in the Brazilian states of Para, Mato Gross, Rondonia, Roraima, ...


94. LBA-ECO LC-22 Post-deforestation Land Use, Mato Grosso, Brazil: 2001-2005 [LC22_POST_DEFORESTATION_LULC_1099_1]
This data set provides (1) areal estimates of deforestation events (>25 ha) that were identified from 2001-2004 in Mato Grosso by the Brazilian Institute for Space Research (INPE) as part of the Program ...


95. LBA-ECO LC-23 ASTER and MODIS Fire Data Comparison for Brazil: 2003-2004 [LBA-ECO_LC23_AMFD_839_1]
This data set contains data associated with MODIS fire maps generated using two different algorithms and compared against fire maps produced by ASTER. These data relate to a paper (Morisette et al., ...


96. LBA-ECO LC-23 Characterization of Vegetation Fire Dynamics for Brazil: 2001-2003 [lba_lc23_vfd_843_1]
Satellite fire detection was determined from two sensors, the Advanced Very High Resolution Radiometer (AVHRR) on NOAA-12 and the Moderate Resolution Imaging Spectroradiometer (MODIS) on both the ...


97. LBA-ECO LC-24 Cadastral Property Map of Uruara, Para, Brazil: ca.1975 [LC24_CADASTRAL_MAP_PARA_1042_1]
This data set contains a shapefile of a digitized map of the land parcel information of the original properties of the Uruara colonization site, Para, Brazil, acquired from the Instituto de Colonizacao ...


98. LBA-ECO LC-24 Historical Roads of the Legal Amazon: 1968-1993 [LC24_HISTORICAL_ROADS_AMAZON_1043_1]
This data set contains ESRI shapefiles of historical roads (basin-wide federal and state roads) in nine Brazilian states for the Legal Amazon: Amazonas, Para, Acre, Rondonia, Roraima, Tocantins, Amapa, ...


99. LBA-ECO LC-24 Landsat ETM+ Forest Cover Classification, Uruara, Para, Brazil: 1999 [LC24_ETM_DEFORESTATION_MAP_1054_1]
This data set contains a 1999 Landsat ETM+ mosaic image land of cover classification showing forested and deforestation areas in Uruara, Para, Brazil. This image may be overlain with the cadastral ...


100. LBA-ECO LC-24 Landsat TM and ETM+ Land Cover, Southern Para, Brazil: 1984-2003 [LC24_LAND_COVER_SOUTHERN_PARA_1055_1]
This data set is a five-class land cover for Southern Para for the years 1984 (Landsat MSS), 1988 (Landsat TM), 1996, and 2003 (Landsat ETM+). The final classification shows five classes derived using ...


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