• [Advanced Composition Explorer (ACE)]

    ID: 1

  • [ATLAS]

    ID: 2

  • [Aqua: AIRS]

    ID: 3

    Sensor: AIRS

    For more information on the Atmospheric Infrared Sounder, click http://www-airs.jpl.nasa.gov/

    Used on 19 pages.

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  • [Aqua: AMSR-E]

    ID: 4

    Sensor: AMSR-E

  • [Aqua: MODIS]

    ID: 5

    Sensor: MODIS

  • [CAD: CAM data]

    ID: 6

    Sensor: CAM data

  • [CORONA: Panoramic Camera]

    ID: 7

    Sensor: Panoramic Camera

  • [Clementine]

    ID: 8

  • [Cluster]

    ID: 10

  • [DMSP: SSM/I]

    ID: 11

    Sensor: SSM/I

    Defense Meteorological Satellite Program Special Sensor Microwave Imager

    Used on 48 pages.

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  • [DMSP: OLS]

    ID: 12

    Sensor: OLS

    Defense Meteorological Satellite Program Operational Linescan System

    Used on 15 pages.

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  • [EO-1: ALI]

    ID: 13

    Sensor: ALI

  • [EO-1: Hyperion]

    ID: 14

    Sensor: Hyperion

  • [ERS-1]

    ID: 16

  • [Earth Probe: TOMS]

    ID: 17

    Sensor: TOMS

  • [FUSE]

    ID: 18

  • [FY-2]

    ID: 19

  • [GMS-4: VISSR]

    ID: 20

    Sensor: VISSR

  • [GMS-5]

    ID: 21

  • [GOES]

    ID: 22

  • [GOES-10]

    ID: 23

  • [GOES-11]

    ID: 24

  • [GOES-12]

    ID: 25

  • [GOES-12: SXI]

    ID: 26

    Sensor: SXI Collected by: NOAA

  • [GOES-6]

    ID: 27

  • [GOES-7]

    ID: 28

  • [GOES-8]

    ID: 29

  • [GOES-8: Imager]

    ID: 30

    Sensor: Imager

  • [GOES-9]

    ID: 31

  • [GOES-9: Imager]

    ID: 32

    Sensor: Imager

  • [GOES: IR4]

    ID: 33

    Sensor: IR4

  • [Galileo: Solid-State Imaging Camera]

    ID: 34

    Sensor: Solid-State Imaging Camera Collected by: NASA/JPL

  • [Geotail]

    ID: 35

  • [HST]

    ID: 36

  • [HST: FOC]

    ID: 37

    Sensor: FOC

  • [ICESat: GLAS]

    ID: 38

    Sensor: GLAS

  • [IKONOS]

    ID: 39

  • [IMAGE]

    ID: 40

    The IMAGE spacecraft monitors the near-Earth environment.

    This dataset can be found at: http://image.gsfc.nasa.gov

    Used on 4 pages.

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  • [IMAGE: EUV]

    ID: 41

    Sensor: EUV

  • [IMAGE: FUV]

    ID: 42

    Sensor: FUV

  • [IMAGE: HENA]

    ID: 43

    Sensor: HENA

  • [IMAGE: LENA]

    ID: 44

    Sensor: LENA

  • [IMP-8]

    ID: 45

  • [JERS-1]

    ID: 46

  • [Landsat]

    ID: 47

  • [Landsat-1: MSS]

    ID: 48

    Sensor: MSS

  • [Landsat-2: MSS]

    ID: 49

    Sensor: MSS

  • [Landsat-3: MSS]

    ID: 50

    Sensor: MSS

  • [Landsat-4: MSS]

    ID: 51

    Sensor: MSS

  • [Landsat-4: TM]

    ID: 52

    Sensor: TM

  • [Landsat-5: TM]

    ID: 53

    Sensor: TM

  • [Landsat-7]

    ID: 54

  • [Landsat-7: ETM+]

    ID: 55

    Sensor: ETM+

  • [Lunar Prospector]

    ID: 56

  • [METEOSAT-6: VISSR]

    ID: 57

    Sensor: VISSR

  • [MGS: MOC]

    ID: 58

    Sensor: MOC

  • [MGS: MOLA]

    ID: 59

    Sensor: MOLA

  • [Mariner-9: Vidicon]

    ID: 60

    Sensor: Vidicon

  • [Mars Odyssey: GRS]

    ID: 61

    Sensor: GRS

  • [Mars Pathfinder]

    ID: 62

  • [Meteor-3: TOMS]

    ID: 63

    Sensor: TOMS

  • [Meteosat]

    ID: 64

  • [NEAR: NLR]

    ID: 65

    Sensor: NLR

  • [NOAA-11: AVHRR]

    ID: 67

    Sensor: AVHRR

  • [NOAA-12: AVHRR]

    ID: 68

    Sensor: AVHRR

  • [NOAA-14: AVHRR]

    ID: 69

    Sensor: AVHRR

  • [NOAA-16: AVHRR]

    ID: 70

    Sensor: AVHRR

  • [NOAA-7: AVHRR]

    ID: 71

    Sensor: AVHRR

  • [NOAA-8: AVHRR]

    ID: 72

    Sensor: AVHRR

  • [NOAA-9: AVHRR]

    ID: 73

    Sensor: AVHRR

  • [NOAA: AVHRR]

    ID: 74

    Sensor: AVHRR

  • [Nimbus-7: CZCS]

    ID: 76

    Sensor: CZCS

  • [Nimbus-7: SBUV]

    ID: 77

    Sensor: SBUV

  • [Nimbus-7: SMMR]

    ID: 78

    Sensor: SMMR

  • [Nimbus-7: TOMS]

    ID: 79

    Sensor: TOMS

  • [PSPT: CaIIK camera]

    ID: 80

    Sensor: CaIIK camera

  • [Polar]

    ID: 81

  • [Polar: PIXIE]

    ID: 82

    Sensor: PIXIE

  • [Polar: VIS]

    ID: 83

    Sensor: VIS

  • [QuickBird]

    ID: 84

  • [QuikSCAT: SeaWinds]

    ID: 85

    Sensor: SeaWinds

    SeaWinds is a scanning dual pencil-beam Ku-band scatterometer.

    This dataset can be found at: http://www.mers.byu.edu/Seawinds.html

    Used on 15 pages.

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  • [RADARSAT-1: SAR]

    ID: 87

    Sensor: SAR

    Credit: Additional credit goes to Canadian Space Agency, RADARSAT International Inc.

    Used on 48 pages.

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  • [Solar Anomalous and Magnetospheric Particle Explorer (SAMPEX): HILT]

    ID: 89

    Sensor: HILT

  • [Solar Anomalous and Magnetospheric Particle Explorer (SAMPEX): PET]

    ID: 90

    Sensor: PET

  • [SAR]

    ID: 91

    Sensor: SAR

  • [SRTM: SIR-C]

    ID: 92

    Sensor: SIR-C

  • [SOHO]

    ID: 93

    Collected by: NASA and ESA

    SOHO monitors the Sun with a variety of instruments. Among the SOHO instruments is the Michelson Doppler Interferometer (MDI) and the Extreme ultraviolet Imaging Telescope (EIT).

    This dataset can be found at: http://sohowww.nascom.nasa.gov

    Used on 11 pages.

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  • SOHO/EIT [SOHO: Extreme-UV Imaging Telescope (EIT)]

    ID: 94

    Sensor: Extreme-UV Imaging Telescope (EIT) Collected by: NASA and ESA

  • [SOHO: Large Angle Spectrometric COronagraph (LASCO)]

    ID: 95

    Sensor: Large Angle Spectrometric COronagraph (LASCO) Collected by: NASA and ESA

  • SOHO/MDI [SOHO: Michelson Doppler Interferometer (MDI)]

    ID: 96

    Sensor: Michelson Doppler Interferometer (MDI) Collected by: NASA and ESA

  • [SORCE]

    ID: 97

    The SORCE mission (launched January 23, 2003) will study the variability of the Sun and its impact on the Earth"s Climate.

    Used on 4 pages.

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  • [SORCE: XPS]

    ID: 98

    Sensor: XPS

  • [SeaStar: SeaWiFS]

    ID: 100

    Sensor: SeaWiFS

    NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye

    Credit: NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio. NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye (NOTE: In January 2013, DigitalGlobe and GeoEye combined to become one DigitalGlobe.).

    Used on 187 pages.

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  • [RHESSI: X-ray Imaging Spectrometer]

    ID: 101

    Sensor: X-ray Imaging Spectrometer

    The RHESSI instrument is an imaging spectrometer observing the Sun at X-ray to gamma-rays (photon energies of 3 keV to 17 MeV) at time resolutions of a few seconds. (eV stands for "electron volt" and is a unit of energy. Note that photons of visible light have energies of 2-3 eV. 1 keV is a thousand electron volts and 1 MeV is a million electron volts.

    This dataset can be found at: http://hesperia.gsfc.nasa.gov/hessi/

    Used on 18 pages.

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  • [TAO: TRITON]

    ID: 102

    Sensor: TRITON

  • [TIMED]

    ID: 103

  • [TOPEX: Poseidon]

    ID: 105

    Sensor: Poseidon

  • [TRACE]

    ID: 106

    The TRACE satellite views the Sun at ultraviolet wavelengths with high temporal (approximately 1-12 seconds) and spatial (1 arcsecond per pixel) resolution. Launched on April 2, 1998, it orbits the Earth in a Sun-synchronous orbit.

    This dataset can be found at: http://sunland.gsfc.nasa.gov/smex/trace/

    Used on 39 pages.

    See all pages that use this dataset
  • [TRMM]

    ID: 107

  • [TRMM: LIS]

    ID: 108

    Sensor: LIS

  • [TRMM: PR]

    ID: 109

    Sensor: PR

  • [TRMM: TMI]

    ID: 110

    Sensor: TMI

  • [TRMM: VIRS]

    ID: 111

    Sensor: VIRS

  • [TRMM: VIS]

    ID: 112

    Sensor: VIS

  • [Terra: ASTER]

    ID: 113

    Sensor: ASTER

  • [Terra: CERES]

    ID: 114

    Sensor: CERES

    The CERES instrument aboard many Earth-orbiting satellites records the flow of reflected Solar radiation and reprocessed longwave radiation in the Earth's radiation budget.

    Used on 33 pages.

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  • [Terra: MISR]

    ID: 115

    Sensor: MISR

  • [Terra: MODIS]

    ID: 116

    Sensor: MODIS

  • [Terra: MOPITT]

    ID: 117

    Sensor: MOPITT

  • [UARS]

    ID: 118

  • [UARS: ACRIM]

    ID: 119

    Sensor: ACRIM

  • [UARS: CLAES]

    ID: 120

    Sensor: CLAES

  • [UARS: HALOE]

    ID: 121

    Sensor: HALOE

  • [UARS: HRDI]

    ID: 122

    Sensor: HRDI

  • [UARS: ISAMS]

    ID: 123

    Sensor: ISAMS

  • [UARS: MLS]

    ID: 124

    Sensor: MLS

  • [UARS: PEM]

    ID: 125

    Sensor: PEM

  • [UARS: SOLSTICE]

    ID: 126

    Sensor: SOLSTICE

  • [UARS: SUSIM]

    ID: 127

    Sensor: SUSIM

  • [UARS: WINDII]

    ID: 128

    Sensor: WINDII

  • [VAULT]

    ID: 129

  • [Viking]

    ID: 130

  • [Viking: VIS]

    ID: 131

    Sensor: VIS

  • [Wind: MFI]

    ID: 132

    Sensor: MFI

  • [Wind: SWE]

    ID: 133

    Sensor: SWE

  • [Wind]

    ID: 134

  • [Yohkoh]

    ID: 135

    Collected by: JAXA, NASA, and the UK

    Satellite solar observatory operated jointly by JAXA, NASA, and the UK

    This dataset can be found at: http://www.lmsal.com/SXT/homepage.html

    Used on 2 pages.

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  • [LVIS]

    ID: 136

    Sensor: LVIS

  • [MAS]

    ID: 137

    Sensor: MAS

  • [Airborne Topographic Mapper]

    ID: 139

    Sensor: Airborne Topographic Mapper

  • [Apogee AP8p CCD]

    ID: 140

    Sensor: Apogee AP8p CCD

  • [Omega Dropwindsonde]

    ID: 142

    Sensor: Omega Dropwindsonde

  • [Seismic Recording Networks]

    ID: 143

    Sensor: Seismic Recording Networks

  • [Landsat-5: MSS]

    ID: 144

    Sensor: MSS

  • NDVI [SPOT-4: VGT-S10]

    ID: 145

    Sensor: VGT-S10

  • [Wind: WAVES]

    ID: 146

    Sensor: WAVES

  • [Aura: OMI]

    ID: 147

    Sensor: OMI

  • [Aura: MLS]

    ID: 148

    Sensor: MLS

  • [Aqua: CERES]

    ID: 149

    Sensor: CERES

    The CERES instrument aboard many Earth-orbiting satellites records the flow of reflected Solar radiation and reprocessed longwave radiation in the Earth's radiation budget.

    Used on 4 pages.

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  • [Seismometer]

    ID: 151

    Sensor: Seismometer

  • [IMAGE: VIS]

    ID: 153

    Sensor: VIS

  • [GOES: AMSU]

    ID: 156

    Sensor: AMSU

  • [ULDB: CREAM]

    ID: 158

    Sensor: CREAM

  • [SORCE: TIM]

    ID: 159

    Sensor: TIM

  • LASCO/C2 (C2) [SOHO: Large Angle Spectrometric COronagraph (LASCO)]

    ID: 160

    Sensor: Large Angle Spectrometric COronagraph (LASCO) Collected by: NASA and ESA

  • LASCO/C3 (C3) [SOHO: Large Angle Spectrometric COronagraph (LASCO)]

    ID: 161

    Sensor: Large Angle Spectrometric COronagraph (LASCO) Collected by: NASA and ESA

  • [GOES: HIRS]

    ID: 163

    Sensor: HIRS

  • [Chandra: HRC-I]

    ID: 164

    Sensor: HRC-I

  • [Argo Buoy]

    ID: 165

    Sensor: Argo Buoy

  • [Aqua]

    ID: 167

  • [SDO]

    ID: 168

  • [STEREO]

    ID: 169

    The STEREO mission consists of two Sun-observing spacecraft that will travel around the Sun on orbits slightly inside and slightly outside Earth's orbit.

    This dataset can be found at: https://stereo.gsfc.nasa.gov

    Used on 18 pages.

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  • [ERS-1: SAR]

    ID: 171

    Sensor: SAR

  • [GOES-12: Imager]

    ID: 172

    Sensor: Imager

  • [GOES-10: Imager]

    ID: 173

    Sensor: Imager

  • [HST: ACS]

    ID: 174

    Sensor: ACS

  • [Clementine: HIRES]

    ID: 175

    Sensor: HIRES

  • [Meteosat-7: VISSR]

    ID: 176

    Sensor: VISSR

  • [THEMIS]

    ID: 177

  • [CALIPSO: CALIOP]

    ID: 178

    Sensor: CALIOP

    Cloud-Aerosol Lidar with Orthogonal Polarization

    Used on 4 pages.

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  • [STEREO: Extreme UltraViolet Imager (EUVI)]

    ID: 179

    Sensor: Extreme UltraViolet Imager (EUVI)

  • [STEREO-A: Extreme UltraViolet Imager (EUVI)]

    ID: 185

    Sensor: Extreme UltraViolet Imager (EUVI)

  • [STEREO-A: Coronograph 1 (COR1)]

    ID: 186

    Sensor: Coronograph 1 (COR1)

  • [STEREO-A: Coronograph 2 (COR2)]

    ID: 187

    Sensor: Coronograph 2 (COR2)

  • [STEREO-A: Heliospheric Imager 1 (HI-1)]

    ID: 188

    Sensor: Heliospheric Imager 1 (HI-1)

  • [STEREO-A: Heliospheric Imager 2 (HI-2)]

    ID: 189

    Sensor: Heliospheric Imager 2 (HI-2)

  • [Hinode (Solar-B): Solar Optical Telescope (SOT)]

    ID: 196

    Sensor: Solar Optical Telescope (SOT)

  • [CloudSat: CPR]

    ID: 197

    Sensor: CPR

  • [Magnetospheric MultiScale Mission]

    ID: 198

  • [Aeronomy of Ice in the Mesosphere (AIM)]

    ID: 199

  • [HST: NICMOS]

    ID: 201

    Sensor: NICMOS

  • [HST: WFC3]

    ID: 202

    Sensor: WFC3

  • [JWST]

    ID: 203

  • [LISA]

    ID: 204

  • [Voyager]

    ID: 205

  • [OSIRIS]

    ID: 206

  • [IBEX]

    ID: 207

  • [Glory]

    ID: 208

  • [LRO]

    ID: 209

  • [SAM]

    ID: 210

  • [THEMIS: All-Sky Imager (ASI)]

    ID: 211

    Type: Mosaic Sensor: All-Sky Imager (ASI)

  • [LRO: LROC]

    ID: 212

    Sensor: LROC

  • [LRO: Diviner]

    ID: 213

    Sensor: Diviner

  • [LRO: LOLA]

    ID: 214

    Sensor: LOLA

  • [Glory: APS]

    ID: 215

    Sensor: APS

  • [Fermi: LAT]

    ID: 216

    Type: Event List Sensor: LAT

    Fermi Gamma-ray Large Area Space Telescope (GLAST) Large Area Telescope (LAT)

    This dataset can be found at: http://fermi.gsfc.nasa.gov

    Used on 45 pages.

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  • [Swift]

    ID: 217

  • [HST: STIS]

    ID: 218

    Sensor: STIS

  • [Lunar Prospector: Neutron Spectrometer]

    ID: 220

    Sensor: Neutron Spectrometer

  • [Gravity Recovery and Climate Experiment (GRACE)]

    ID: 221

  • [C/NOFS: Coupled Ion Neutral Dynamics Investigation (CINDI)]

    ID: 222

    Sensor: Coupled Ion Neutral Dynamics Investigation (CINDI)

  • [NOAA-N Prime: TIROS]

    ID: 225

    Sensor: TIROS

  • [NOAA-N Prime: SARSAT]

    ID: 226

    Sensor: SARSAT

  • [Glory: TIM]

    ID: 227

    Sensor: TIM

  • [NASA P-3 Aircraft: PARIS Radar]

    ID: 229

    Sensor: PARIS Radar

  • [GOES-O]

    ID: 230

  • [HST: SI CandDH]

    ID: 231

    Sensor: SI CandDH

  • Topography [Airplane: Airborne Topographic Mapper]

    ID: 232

    Sensor: Airborne Topographic Mapper

  • [Airplane: AISA]

    ID: 233

    Sensor: AISA

  • Precipitation Anomaly (Observed Land Surface Precipitation)

    ID: 234

    Type: Analysis

  • Level 2 Water Vapor (H2OMMRStd) [Aqua: AIRS]

    ID: 235

    Sensor: AIRS

  • Daily L3 6.25 km 89 GHz Brightness Temperature (Tb) [Aqua: AMSR-E]

    ID: 236

    Sensor: AMSR-E

  • Sea Ice Concentration (Daily L3 12.5km Tb, Sea Ice Concentration, and Snow Depth) [Aqua: AMSR-E]

    ID: 237

    Sensor: AMSR-E

  • Sea Surface Temperature [Aqua: AMSR-E]

    ID: 238

    Sensor: AMSR-E

  • Sea Surface Temperature Anomaly [Aqua: AMSR-E]

    ID: 239

    Sensor: AMSR-E

  • Albedo [Aqua: CERES]

    ID: 240

    Sensor: CERES

  • Average Net Flux [Aqua: CERES]

    ID: 241

    Sensor: CERES

  • Incoming Solar Radiation [Aqua: CERES]

    ID: 242

    Sensor: CERES

    Data from SORCE for the flux magnitude at the Earth's orbit, coupled with solar incidence angles based on CERES measurement locations and times

    Used on 10 pages.

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  • Instantaneous Net Flux [Aqua: CERES]

    ID: 243

    Sensor: CERES

  • Instantaneous Outgoing Thermal [Aqua: CERES]

    ID: 244

    Sensor: CERES

  • Instantaneous Reflected Flux [Aqua: CERES]

    ID: 245

    Sensor: CERES

  • Net Radiant Flux [Aqua: CERES]

    ID: 246

    Sensor: CERES

  • Outgoing Longwave Radiation Flux [Aqua: CERES]

    ID: 247

    Sensor: CERES

  • Outgoing Shortwave Radiation Flux [Aqua: CERES]

    ID: 249

    Sensor: CERES

  • Band 1 (Vis) [Aqua: MODIS]

    ID: 251

    Sensor: MODIS

  • Blue Marble [Aqua: MODIS]

    ID: 252

    Sensor: MODIS

    Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).

    Used on 22 pages.

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  • Sea Ice Extent and Ice Surface Temperature Daily L3 Global 4km EASE-Grid Day (MYD29E1D) [Aqua: MODIS]

    ID: 253

    Sensor: MODIS

  • Sea Surface Temperature [Aqua: MODIS]

    ID: 254

    Sensor: MODIS

  • Fire Location [Aqua: MODIS]

    ID: 255

    Sensor: MODIS

    Credit: Fire location data courtesy of MODIS Rapid Response Project (NASA/GSFC and University of Maryland - http://rapidfire.sci.gsfc.nasa.gov)

    Used on 1 page.

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  • Chlorine Monoxide [Aura: MLS]

    ID: 257

    Sensor: MLS

  • Hydrogen Chloride [Aura: MLS]

    ID: 258

    Sensor: MLS

  • Nitric Acid [Aura: MLS]

    ID: 259

    Sensor: MLS

  • Ozone [Aura: MLS]

    ID: 260

    Sensor: MLS

  • Potential Vorticity [Aura: MLS]

    ID: 261

    Sensor: MLS

    Derived by folks at JPL, not publicly available

    Used on 2 pages.

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  • Temperature [Aura: MLS]

    ID: 262

    Sensor: MLS

  • Water Vapor [Aura: MLS]

    ID: 263

    Sensor: MLS

  • Ozone [Aura: OMI]

    ID: 264

    Sensor: OMI

  • H-alpha [Big Bear Solar Observatory: H-alpha Telescope]

    ID: 265

    Type: Observed Data Sensor: H-alpha Telescope Collected by: BBSO

    Solar imagery in Hydrogen-alpha spectral line

    This dataset can be found at: http://www.bbso.njit.edu

    Used on 7 pages.

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  • Geomagnetic Field [CANOPUS: Magnetometer Array]

    ID: 266

    Sensor: Magnetometer Array

  • Lunar topography [Clementine: LIDAR]

    ID: 267

    Sensor: LIDAR

  • Sea Surface Temperature

    ID: 268

    Type: Model Collected by: ECCO

  • Zonal Pseudostress

    ID: 269

    Type: Data Compilation Collected by: FSU/COAPS

  • GPCP Combined Precipitation

    ID: 270

    Type: Data Compilation Collected by: Global Precipitation Climatology Project(GPCP)

  • Global Cloud Cover

    ID: 271

    Type: Data Compilation Collected by: International Satellite Cloud Climatology Program (ISCCP)

  • Gridded Population of the World (Version 3 Beta)

    ID: 272

    Type: Data Compilation Collected by: SEDAC

  • Fire Perimeters

    ID: 273

    Type: Data Compilation Collected by: USGS

  • GTOPO30 Topography and Bathymetry

    ID: 274

    Type: Data Compilation Collected by: USGS

  • Earthquake Activity

    ID: 275

    Type: Data Compilation Collected by: USGS National Earthquake Center

  • Circum-Arctic Map of Permafrost and Ground-Ice Conditions

    ID: 276

    Type: Data Compilation Collected by: NSIDC

  • NSIDC SSMI-derived September Minimum Sea Ice Concentration

    ID: 277

    Type: Data Compilation Collected by: NSIDC

  • World Glacier Inventory

    ID: 278

    Type: Data Compilation Collected by: NSIDC

  • Air Quality (EPA PM25_1HR_airnow_merged)

    ID: 279

    Type: Database Collected by: EPA

  • Seasonal Iceberg Locations

    ID: 280

    Type: Database Collected by: International Ice Patrol (IIP)

  • HURDAT

    ID: 281

    Type: Database Collected by: NOAA

  • Hurricane/Tropical Data

    ID: 282

    Type: Database Collected by: Unisys

  • Fire Location

    ID: 283

    Type: Database Collected by: USGS

  • Political Boundaries(GNV00019)

    ID: 284

    Type: Database Collected by: World Boundary Databank

  • Bright Star Catalogue (Yale Bright Star Catalogue)

    ID: 285

    Type: Database Collected by: Yale

  • Earth at Night [DMSP: OLS]

    ID: 286

    Sensor: OLS

  • Passive Microwave Data (15% Mean Sea Ice Extent Contour for September) [DMSP: SSM/I]

    ID: 287

    Sensor: SSM/I

  • Precipitation [DMSP: SSM/I]

    ID: 288

    Sensor: SSM/I

  • Precipitation Anomaly [DMSP: SSM/I]

    ID: 289

    Sensor: SSM/I

  • Sea Ice Concentration [DMSP: SSM/I]

    ID: 290

    Sensor: SSM/I

  • Monthly Sea Ice Concentration Climatology [DMSP: SSM/I]

    ID: 291

    Sensor: SSM/I

  • Sea Surface Wind Anomaly [DMSP: SSM/I]

    ID: 293

    Sensor: SSM/I

  • September Sea Ice Concentration Anomaly [DMSP: SSM/I]

    ID: 294

    Sensor: SSM/I

  • Aerosols [Earth Probe: TOMS]

    ID: 295

    Sensor: TOMS

  • Erythemal [Earth Probe: TOMS]

    ID: 296

    Sensor: TOMS

  • Ozone [Earth Probe: TOMS]

    ID: 298

    Sensor: TOMS

  • Total Ozone [Earth Probe: TOMS]

    ID: 299

    Sensor: TOMS

  • Tropospheric Ozone [Earth Probe: TOMS]

    ID: 300

    Sensor: TOMS

  • Smoke [Earth Probe: TOMS]

    ID: 301

    Sensor: TOMS

  • Aerosol Index [Earth Probe: TOMS]

    ID: 302

    Sensor: TOMS

  • Ozone Depth [Earth Probe: TOMS]

    ID: 304

    Sensor: TOMS

  • Ozone Size [Earth Probe: TOMS]

    ID: 305

    Sensor: TOMS

  • True Color [EO-1: ALI]

    ID: 306

    Sensor: ALI

  • Outgoing Longwave Radiation [ERBS: ERBE]

    ID: 307

    Sensor: ERBE

  • Infrared Global Composite

    ID: 308

    Type: Data Compilation Collected by: University of Wisconsin

    Includes data from FY-2/VISSR, GMS-5/VISSR, GOES-8/Sounder, GOES-9/Sounder, and Meteosat-7/VISSR

    This dataset can be found at: http://www.ssec.wisc.edu/data/composites.html

    Used on 2 pages.

    See all pages that use this dataset
  • Earth Texture (1990) [Galileo: Solid-State Imaging Camera]

    ID: 309

    Sensor: Solid-State Imaging Camera

  • Stratospheric Winds [GEOS-1: DAS]

    ID: 310

    Sensor: DAS

  • Cloud Cover [GMS-5: Spin-Scan Imager]

    ID: 314

    Sensor: Spin-Scan Imager

  • Cloud Cover [GOES-10: Imager]

    ID: 315

    Sensor: Imager

  • Infrared [GOES-12: Imager]

    ID: 316

    Sensor: Imager

  • Visible [GOES-12: Imager]

    ID: 317

    Sensor: Imager

  • IR2 [GOES-12: Sounder]

    ID: 318

    Sensor: Sounder

  • Cloud Cover [GOES-12: Imager]

    ID: 319

    Sensor: Imager

  • [GOES-8: IR4]

    ID: 320

    Sensor: IR4

  • Band 3 [GOES-8: Sounder]

    ID: 321

    Sensor: Sounder

  • Photo #AS17-148-22727 [Hasselblad 70mm Electric Camera]

    ID: 325

    Sensor: Hasselblad 70mm Electric Camera

  • L1B Global Elevation Data (GLA06) [ICESat: GLAS]

    ID: 326

    Sensor: GLAS

  • L2 Global Cloud Heights for Multi-layer Clouds (GLA09) [ICESat: GLAS]

    ID: 327

    Sensor: GLAS

  • Cloud Cover [ISCCP: D2]

    ID: 328

    Sensor: D2

  • Bow Shock [ISTP/CGS: Model]

    ID: 330

    Sensor: Model

  • Magnetopause [ISTP/CGS: Model]

    ID: 331

    Sensor: Model

  • Sea Surface Height [Jason-1: Altimeter]

    ID: 332

    Sensor: Altimeter

  • Jakobshavn flow field [Landsat-7: ETM+]

    ID: 333

    Sensor: ETM+

  • Band Combination 1, 2, 3 [Landsat: TM, ETM, ETM+]

    ID: 334

    Sensor: TM, ETM, ETM+

  • Band Combination 3-2-1 [Landsat-5: TM]

    ID: 337

    Sensor: TM

  • Band Combination 5, 4, 2 [Landsat-5: TM]

    ID: 338

    Sensor: TM

  • Band Combination 5, 4, 2 [Landsat-5: TMI]

    ID: 339

    Sensor: TMI

  • Band Combination 3-2-1 [Landsat-7: ETM+]

    ID: 340

    Sensor: ETM+

  • Band Combination 5, 4, 2 [Landsat-7: ETM+]

    ID: 341

    Sensor: ETM+

  • Impervious Surface Cover [Landsat-7: ETM+]

    ID: 342

    Sensor: ETM+

  • Infrared [Landsat-7: ETM+]

    ID: 343

    Sensor: ETM+

  • WMS Global Mosaic, Release 2 [Landsat-7: ETM+]

    ID: 344

    Sensor: ETM+

    Release 2 of the WMS Global Mosaic, a seamless mosaic of Landsat-7 scenes.

    This dataset can be found at: http://landsat.gsfc.nasa.gov/about/wrs.html

    Used on 3 pages.

    See all pages that use this dataset
  • Epithermal Neutron Data [Mars Odyssey: Gamma-ray spectrometer (GRS)]

    ID: 346

    Sensor: Gamma-ray spectrometer (GRS)

  • High Energy Neutron [Mars Odyssey: GRS]

    ID: 347

    Sensor: GRS

  • Total Ozone [Meteor-3: TOMS]

    ID: 348

    Sensor: TOMS

  • Cloud Cover [METEOSAT-6: MVIRI]

    ID: 349

    Sensor: MVIRI

  • Topography [MGS: MOLA]

    ID: 352

    Sensor: MOLA

  • Lightning [Microlab-1: OTD]

    ID: 353

    Sensor: OTD

  • DNA damage [DNA damage model]

    ID: 355

    Type: Model Sensor: DNA damage model

  • Simulated Volumetric Clouds [Finite Volume Community Climate Model (FVCCM)]

    ID: 356

    Type: Model Sensor: Finite Volume Community Climate Model (FVCCM)

  • [fvGCM]

    ID: 357

    Type: Model Sensor: fvGCM Collected by: NASA

  • CLDTOT (Vertically-integrated, random overlap, total cloud cover (Inst) [fraction]) [fvGCM]

    ID: 358

    Type: Model Sensor: fvGCM Collected by: NASA

  • H300 (300 hPa Geopotential height (Inst) [m]) [fvGCM]

    ID: 359

    Type: Model Sensor: fvGCM Collected by: NASA

  • H500 (500 hPa Geopotential height (Inst) [m]) [fvGCM]

    ID: 360

    Type: Model Sensor: fvGCM Collected by: NASA

  • LHFX (Surface latent heat flux (Inst) [W/m2]) [fvGCM]

    ID: 361

    Type: Model Sensor: fvGCM Collected by: NASA

  • PRECC (Convective precipitation rate (Inst) [mm/day]) [fvGCM]

    ID: 362

    Type: Model Sensor: fvGCM Collected by: NASA

  • PRECL (Large-scale precipitation rate (Inst) [mm/day]) [fvGCM]

    ID: 363

    Type: Model Sensor: fvGCM Collected by: NASA

  • PRECP (instant precip rate at output time) [fvGCM]

    ID: 364

    Type: Model Sensor: fvGCM Collected by: NASA

  • Predicted Track [fvGCM]

    ID: 365

    Type: Model Sensor: fvGCM Collected by: NASA

  • SLP (Sea level pressure (Inst) [Pa]) [fvGCM]

    ID: 366

    Type: Model Sensor: fvGCM Collected by: NASA

  • T2M (2 meter temperature (Inst) (K)) [fvGCM]

    ID: 367

    Type: Model Sensor: fvGCM Collected by: NASA

  • T850 (850 hPa temperature (Inst) [K]) [fvGCM]

    ID: 368

    Type: Model Sensor: fvGCM Collected by: NASA

  • THICK (Thickness of the 500 hPa to 1000 hPa Layer (5400m = freezing line) (Inst) [m]) [fvGCM]

    ID: 369

    Type: Model Sensor: fvGCM Collected by: NASA

  • TQ (Total precipitable water (Inst) [kg/m2]) [fvGCM]

    ID: 370

    Type: Model Sensor: fvGCM Collected by: NASA

  • U10M (10 meter U wind (Inst) [m/s]) [fvGCM]

    ID: 371

    Type: Model Sensor: fvGCM Collected by: NASA

  • U200 (200 hPa U wind (Inst) [m/s]) [fvGCM]

    ID: 372

    Type: Model Sensor: fvGCM Collected by: NASA

  • U850 (850 hPa U wind (Inst) [m/s]) [fvGCM]

    ID: 373

    Type: Model Sensor: fvGCM Collected by: NASA

  • V10M (10 meter V wind (Inst) [m/s]) [fvGCM]

    ID: 374

    Type: Model Sensor: fvGCM Collected by: NASA

  • V200 (200 hPa V wind (Inst) [m/s]) [fvGCM]

    ID: 375

    Type: Model Sensor: fvGCM Collected by: NASA

  • V850 (850 hPa V wind (Inst) [m/s]) [fvGCM]

    ID: 376

    Type: Model Sensor: fvGCM Collected by: NASA

  • W10M (10 meter Vertical Velocity (Inst) [m/s]) [fvGCM]

    ID: 377

    Type: Model Sensor: fvGCM Collected by: NASA

  • W200 (200 hPa Vertical Velocity (Inst) [m/s]) [fvGCM]

    ID: 378

    Type: Model Sensor: fvGCM Collected by: NASA

  • W850 (850 hPa Vertical Velocity (Inst) [m/s]) [fvGCM]

    ID: 379

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global Surface Wind Speed [fvGCM]

    ID: 380

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global Atmospheric Water Vapor [fvGCM]

    ID: 381

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global Convective Precipitation [fvGCM]

    ID: 382

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global Atmospheric Surface Pressure [fvGCM]

    ID: 383

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global Surface Latent Heat Flux [fvGCM]

    ID: 384

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global Large-scale Precipitation [fvGCM]

    ID: 385

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global High Altitude Wind Speed [fvGCM]

    ID: 386

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global Surface Air Temperature [fvGCM]

    ID: 387

    Type: Model Sensor: fvGCM Collected by: NASA

  • Global Cloud Cover [fvGCM]

    ID: 388

    Type: Model Sensor: fvGCM Collected by: NASA

  • Wind [GEOS-DAS]

    ID: 389

    Type: Model Sensor: GEOS-DAS Collected by: NASA/GSFC GMAO

  • [GFDL Coupled Global Climate Model]

    ID: 390

    Type: Model Sensor: GFDL Coupled Global Climate Model

  • [GISS GCM]

    ID: 391

    Type: Model Sensor: GISS GCM

  • Global Methane [Global Data Assimilation Model]

    ID: 392

    Type: Model Sensor: Global Data Assimilation Model

  • Tracer positions [Goddard Trajectory Model]

    ID: 393

    Type: Model Sensor: Goddard Trajectory Model

  • [NO2 Annual Mean Total Column Density]

    ID: 394

    Type: Model Sensor: NO2 Annual Mean Total Column Density Collected by: Harvard and NASA/GSFC

    Harvard GEOS-CHEM for tropospheric NO2 and NASA/GSFC CTM for stratospheric NO2. Data delivered by Eric Buscela.

    Used on 1 page.

    See all pages that use this dataset
  • Average Surface Temperature [LIS]

    ID: 395

    Type: Model Sensor: LIS

  • Evaporation [LIS]

    ID: 396

    Type: Model Sensor: LIS

  • Latent Heat Flux [LIS]

    ID: 397

    Type: Model Sensor: LIS

  • Longwave Net Flux [LIS]

    ID: 398

    Type: Model Sensor: LIS

  • Sensible Heat Flux [LIS]

    ID: 399

    Type: Model Sensor: LIS

  • [ERBE Scene Identification]

    ID: 400

    Type: Model Sensor: ERBE Scene Identification

  • Cloud Cover [NSIPP Atmospheric General Circulation Model]

    ID: 401

    Type: Model Sensor: NSIPP Atmospheric General Circulation Model

  • Atmospheric Water Vapor [GEMS]

    ID: 402

    Type: Model Sensor: GEMS Collected by: NASA NSIPP

    GEMS stands for Goddard Earth Modeling System. It is also known as the NSIPP Global Climate Model.

    Used on 1 page.

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  • Sea Surface Temperature [GEMS]

    ID: 403

    Type: Model Sensor: GEMS Collected by: NASA NSIPP

    GEMS stands for Goddard Earth Modeling System. It is also known as the NSIPP Global Climate Model.

    Used on 3 pages.

    See all pages that use this dataset
  • Sea Surface Temperature Anomaly [GEMS]

    ID: 404

    Type: Model Sensor: GEMS Collected by: NASA NSIPP

    GEMS stands for Goddard Earth Modeling System. It is also known as the NSIPP Global Climate Model.

    Used on 7 pages.

    See all pages that use this dataset
  • Soil Moisture [GEMS]

    ID: 405

    Type: Model Sensor: GEMS Collected by: NASA NSIPP

    GEMS stands for Goddard Earth Modeling System. It is also known as the NSIPP Global Climate Model.

    Used on 12 pages.

    See all pages that use this dataset
  • Water Vapor [GEMS]

    ID: 406

    Type: Model Sensor: GEMS Collected by: NASA NSIPP

    GEMS stands for Goddard Earth Modeling System. It is also known as the NSIPP Global Climate Model.

    Used on 4 pages.

    See all pages that use this dataset
  • [Ocean General Circulation Model]

    ID: 407

    Type: Model Sensor: Ocean General Circulation Model Collected by: Asked David Adamec and John Waldrop

  • [Mesoscale Model]

    ID: 408

    Type: Model Sensor: Mesoscale Model Collected by: Penn State/NCAR

  • PFSS (Magnetic Field Lines) [PFSS]

    ID: 409

    Type: Model Sensor: PFSS Collected by: NASA and ESA

    This model generated from SOHO/MDI magnetograms through the SolarSoft package.

    This dataset can be found at: http://sohowww.nascom.nasa.gov/solarsoft/

    Used on 12 pages.

    See all pages that use this dataset
  • 1-Degree DEM

    ID: 410

    Collected by: USGS

  • 10-meter DEM

    ID: 411

    Collected by: USGS

  • [30 arc-minute elevation]

    ID: 412

    Type: Model Sensor: 30 arc-minute elevation Collected by: USGS

  • [7.5-Minute DEM]

    ID: 413

    Type: Model Sensor: 7.5-Minute DEM Collected by: USGS

  • [DTED Level 1 (3 arc second)]

    ID: 414

    Type: Model Sensor: DTED Level 1 (3 arc second) Collected by: USGS

  • [GTOPO30]

    ID: 415

    Type: Model Sensor: GTOPO30 Collected by: USGS

  • Passive Microwave Data (15% Mean Sea Ice Extent Contour for September) [Nimbus-7: SSMR]

    ID: 419

    Sensor: SSMR

  • Sea Ice Concentrations (Monthly Sea Ice Concentration Climatology from 1979-2002) [Nimbus-7: SSMR]

    ID: 420

    Sensor: SSMR

  • September Sea Ice Concentration Anomaly [Nimbus-7: SSMR]

    ID: 421

    Sensor: SSMR

  • Aerosols [Nimbus-7: TOMS]

    ID: 422

    Sensor: TOMS

  • Ozone [Nimbus-7: TOMS]

    ID: 423

    Sensor: TOMS

  • Sulfur Dioxide [Nimbus-7: TOMS]

    ID: 424

    Sensor: TOMS

  • Total Ozone [Nimbus-7: TOMS]

    ID: 425

    Sensor: TOMS

  • NDVI [NOAA: AVHRR]

    ID: 426

    Sensor: AVHRR

  • Sea Surface Temperature [NOAA: AVHRR]

    ID: 427

    Sensor: AVHRR

  • Sea Surface Temperature Anomaly [NOAA: AVHRR]

    ID: 428

    Sensor: AVHRR

  • ETOPO5

    ID: 429

    Collected by: NOAA NGDC

  • NCEP Sea Surface Temperature Anomaly [NOAA-7: AVHRR]

    ID: 430

    Sensor: AVHRR

  • Outgoing Longwave Radiation [NOAA-10: ERBE]

    ID: 431

    Sensor: ERBE

  • Fires [NOAA-14: AVHRR]

    ID: 432

    Sensor: AVHRR

  • NCEP Sea Surface Temperature Anomaly [NOAA-14: AVHRR]

    ID: 433

    Sensor: AVHRR

  • Sea Surface Temperature [NOAA-14: AVHRR]

    ID: 434

    Sensor: AVHRR

  • Band Combination 5, 4, 2 [NOAA-14: AVHRR/2]

    ID: 437

    Sensor: AVHRR/2

    The AVHRR flown aboard TIROS-N, NOAA-6, NOAA-8, NOAA-10 and NOAA-12 worked with four spectral channels (AVHRR/1), the AVHRR aboard NOAA-7, NOAA-9, NOAA-11and NOAA-13 and NOAA-14 is operating in five channels (AVHRR/2). With the operation of NOAA15, a new version of the AVHRR (called AVHRR/3) is in orbit (for further details concerning the AVHRR sensors see: hhttps://www.usgs.gov/centers/eros/science/usgs-eros-archive-advanced-very-high-resolution-radiometer-avhrr?qt-science_center_objects=0#qt-science_center_objects.

    This dataset can be found at: http://daac.ornl.gov/guides.html#S2K

    Used on 1 page.

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  • [NOAA-6-12, 14, 15: AVHRR]

    ID: 438

    Sensor: AVHRR

  • Arctic Seasonal Temperature Trends [NOAA-7, 9, 11, 14, 16: AVHRR]

    ID: 439

    Sensor: AVHRR

  • Arctic Seasonal Temperature Trends [NOAA-7, 9, 11, 14, 16: AVHRR]

    ID: 440

    Sensor: AVHRR

  • Arctic Seasonal Temperature Trends [NOAA-7, 9, 11, 14, 16: AVHRR]

    ID: 441

    Sensor: AVHRR

  • Arctic Temperature Trends [NOAA-7, 9, 11, 14, 16: AVHRR]

    ID: 442

    Sensor: AVHRR

  • Arctic Temperature Trends [NOAA-7, 9, 11, 14, 16: AVHRR]

    ID: 443

    Sensor: AVHRR

  • Yearly Anomalies in Arctic Surface Temperature [NOAA-7, 9, 11, 14, 16: AVHRR]

    ID: 444

    Sensor: AVHRR

  • AVHRR Pathfinder Global 9km SST Climatology [NOAA-7, 9, 11, 12, 14: AVHRR]

    ID: 445

    Sensor: AVHRR

  • AVHRR Multi-Channel Sea Surface Temperature [NOAA-7, 9: AVHRR]

    ID: 446

    Sensor: AVHRR

  • AVHRR Multi-Channel Sea Surface Temperature Anomaly [NOAA-7, 9: AVHRR]

    ID: 447

    Sensor: AVHRR

  • AVHRR Multi-Channel Sea Surface Temperature Climatology [NOAA-7, 9: AVHRR]

    ID: 448

    Sensor: AVHRR

  • Sea Surface Temperature Anomaly [NOAA-7, 9: AVHRR]

    ID: 449

    Sensor: AVHRR

  • AVHRR Oceans Pathfinder Sea Surface Temperature [NOAA-7, 8, 11, 14, 16, 17: AVHRR]

    ID: 450

    Sensor: AVHRR

  • NDVI [NOAA-9, 11: AVHRR]

    ID: 451

    Sensor: AVHRR

  • Argo Buoy Positions

    ID: 452

    Collected by: UCSD

    The Argo array is part of the Global Climate Observing System/Global Ocean Observing System

    This dataset can be found at: http://www.argo.ucsd.edu/

    Used on 2 pages.

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  • Asthma Hospital Admissions

    ID: 453

  • CelesTrak Spacecraft Orbit Ephemeris

    ID: 454

    Type: Ephemeris

  • Census 2001 population estimates by county

    ID: 455

  • CENSUS State Boundaries

    ID: 456

  • EGM96

    ID: 457

  • Roads

    ID: 460

  • TERRA software

    ID: 461

  • TRANET

    ID: 462

  • US West Nile Virus Cases

    ID: 463

  • Wind [QuikSCAT: SeaWinds]

    ID: 464

    Sensor: SeaWinds

  • Derived Velocities [RADARSAT-1: SAR]

    ID: 465

    Sensor: SAR

    Credit: Additional credit goes to Canadian Space Agency, RADARSAT International Inc.

    Used on 2 pages.

    See all pages that use this dataset
  • Fire Location (SAFARI 2000)

    ID: 466

    Collected by: NASA

  • Global Biosphere [SeaStar: SeaWiFS]

    ID: 467

    Sensor: SeaWiFS

    SeaWiFS Global Biosphere is a combination of the Land NDVI and Chlorophyll Concentration data sets. All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye.

    Credit: NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio. NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye (NOTE: In January 2013, DigitalGlobe and GeoEye combined to become one DigitalGlobe.).

    This dataset can be found at: http://oceancolor.gsfc.nasa.gov/PRODUCTS/

    Used on 94 pages.

    See all pages that use this dataset
  • Chlorophyll Concentration [SeaStar: SeaWiFS]

    ID: 469

    Sensor: SeaWiFS

    All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye.

    Credit: NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio. NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye (NOTE: In January 2013, DigitalGlobe and GeoEye combined to become one DigitalGlobe.).

    This dataset can be found at: http://oceancolor.gsfc.nasa.gov/PRODUCTS/

    Used on 22 pages.

    See all pages that use this dataset
  • False Color [SeaStar: SeaWiFS]

    ID: 470

    Sensor: SeaWiFS

    All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye.

    Credit: NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio. NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye (NOTE: In January 2013, DigitalGlobe and GeoEye combined to become one DigitalGlobe.).

    This dataset can be found at: http://oceancolor.gsfc.nasa.gov/PRODUCTS/

    Used on 1 page.

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  • ERS SAR-derived Glacial Floes (Land Reflectance) [SeaStar: SeaWiFS]

    ID: 471

    Sensor: SeaWiFS

    All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye.

    Credit: NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio. NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye (NOTE: In January 2013, DigitalGlobe and GeoEye combined to become one DigitalGlobe.).

    This dataset can be found at: http://oceancolor.gsfc.nasa.gov/PRODUCTS/

    Used on 2 pages.

    See all pages that use this dataset
  • Monthly Land Reflectance [SeaStar: SeaWiFS]

    ID: 472

    Sensor: SeaWiFS

    All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye.

    Credit: NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio. NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye (NOTE: In January 2013, DigitalGlobe and GeoEye combined to become one DigitalGlobe.).

    This dataset can be found at: http://oceancolor.gsfc.nasa.gov/PRODUCTS/

    Used on 6 pages.

    See all pages that use this dataset
  • True Color [SeaStar: SeaWiFS]

    ID: 473

    Sensor: SeaWiFS

    All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye.

    Credit: NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio. NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye (NOTE: In January 2013, DigitalGlobe and GeoEye combined to become one DigitalGlobe.).

    This dataset can be found at: http://oceancolor.gsfc.nasa.gov/PRODUCTS/

    Used on 111 pages.

    See all pages that use this dataset
  • Volcano Activity (Global Volcanism Program)

    ID: 476

    Collected by: Smithsonian Institute

  • SOHO/EIT 195 (195 Filter) [SOHO: Extreme-UV Imaging Telescope (EIT)]

    ID: 477

    Sensor: Extreme-UV Imaging Telescope (EIT) Collected by: NASA and ESA

  • Solar Irradiance [SORCE: TIM]

    ID: 478

    Sensor: TIM

  • Total Solar Irradiance (TSI) data [SORCE: TIM]

    ID: 479

    Sensor: TIM

  • DEM [SRTM: SIR-C]

    ID: 481

    Sensor: SIR-C

  • Sea Temperature [TAO: TRITON]

    ID: 482

    Sensor: TRITON

  • Sea Temperature Anomaly [TAO: TRITON]

    ID: 483

    Sensor: TRITON

  • Outgoing Longwave Radiation [Terra: CERES]

    ID: 485

    Sensor: CERES

  • Reflected Solar Radiation [Terra: CERES]

    ID: 486

    Sensor: CERES

  • Shortwave Radiation [Terra: CERES]

    ID: 487

    Sensor: CERES

  • Band Combination 1, 4, 3 [Terra: MODIS]

    ID: 490

    Sensor: MODIS

  • Band Combination 7, 2, 1 [Terra: MODIS]

    ID: 491

    Sensor: MODIS

  • Blue Marble [Terra: MODIS]

    ID: 492

    Sensor: MODIS

    Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).

    Used on 44 pages.

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  • Blue Marble Cloud Cover [Terra: MODIS]

    ID: 494

    Sensor: MODIS

    Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).

    Used on 2 pages.

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  • False Color [Terra: MODIS]

    ID: 495

    Sensor: MODIS

  • Fire Location [Terra and Aqua: MODIS]

    ID: 496

    Sensor: MODIS

    Credit: Fire location data courtesy of MODIS Rapid Response Project (NASA/GSFC and University of Maryland - http://rapidfire.sci.gsfc.nasa.gov)

    Used on 50 pages.

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  • Global Reflectance [Terra: MODIS]

    ID: 498

    Sensor: MODIS

  • Grasslands, Woody Savannas, Savannas, and Wetlands (Land Cover) [Terra: MODIS]

    ID: 499

    Sensor: MODIS

  • NDVI [Terra: MODIS]

    ID: 500

    Sensor: MODIS

  • NDVI [Terra: MODIS]

    ID: 501

    Sensor: MODIS

  • Sea Surface Temperature [Terra: MODIS]

    ID: 502

    Sensor: MODIS

  • Snow Cover 8-day composite L3 Global 0.05Deg CMG (MOD10C2) [Terra: MODIS]

    ID: 503

    Sensor: MODIS

  • Snow Cover Daily L3 Global 0.05Deg CMG (MOD10C1) [Terra: MODIS]

    ID: 504

    Sensor: MODIS

  • Carbon Monoxide [Terra: MOPITT]

    ID: 505

    Sensor: MOPITT

  • CO Mixing Ratio [Terra: MOPITT]

    ID: 506

    Sensor: MOPITT

  • Blue Marble Clouds [Terra: MODIS]

    ID: 507

    Sensor: MODIS

    Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).

    Used on 4 pages.

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  • BMNG (Blue Marble: Next Generation) [Terra and Aqua: MODIS]

    ID: 508

    Sensor: MODIS

    Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).

    This dataset can be found at: http://earthobservatory.nasa.gov/Newsroom/BlueMarble/

    Used on 287 pages.

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  • Blue Marble Cloud Cover [Terra and Aqua: MODIS]

    ID: 509

    Sensor: MODIS

    Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).

    Used on 14 pages.

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  • Blue Marble Land Cover [Terra and Aqua: MODIS]

    ID: 510

    Sensor: MODIS

    Credit: The Blue Marble data is courtesy of Reto Stockli (NASA/GSFC).

    Used on 51 pages.

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  • MODIS 04 Aerosol Optical Depth [Terra and Aqua: MODIS]

    ID: 511

    Sensor: MODIS

  • Sea Surface Height [TOPEX: Poseidon]

    ID: 513

    Sensor: Poseidon

  • Sea Surface Height Anomaly [TOPEX: Poseidon]

    ID: 514

    Sensor: Poseidon

  • Lightning [TRMM: LIS]

    ID: 515

    Sensor: LIS

  • Monthly Average Precipitation [TRMM: PR and TMI]

    ID: 516

    Sensor: PR and TMI

  • Monthly Average Precipitation Anomaly [TRMM: PR and TMI]

    ID: 517

    Sensor: PR and TMI

  • 3B42RT [TRMM: PR, TMI, and VIRS]

    ID: 518

    Sensor: PR, TMI, and VIRS

  • 85GHz Brightness Temperature [TRMM: TMI]

    ID: 519

    Sensor: TMI

  • Daily Rainfall [TRMM: TMI]

    ID: 520

    Sensor: TMI

  • Rainfall Accumulation [TRMM: TMI]

    ID: 521

    Sensor: TMI

  • Sea Surface Temperature [TRMM: TMI]

    ID: 522

    Sensor: TMI

  • Sea Surface Temperature Anomaly [TRMM: TMI]

    ID: 523

    Sensor: TMI

  • Fire Location [TRMM: VIRS]

    ID: 525

    Sensor: VIRS

  • 3-hour Rainmap (3B4XRT) [TRMM and DMSP: SSM/I and TMI]

    ID: 526

    Sensor: SSM/I and TMI

  • Methane Mixing Ratio [UARS: CLAES]

    ID: 527

    Sensor: CLAES

  • Earthquake Activity [USGS: NEIC]

    ID: 528

    Sensor: NEIC

    National Earthquake Information Center

    This dataset can be found at: http://neic.usgs.gov

    Used on 11 pages.

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  • True Color [Viking: Images]

    ID: 531

    Sensor: Images

  • Water Vapor Composite

    ID: 535

    Collected by: University of Wisconsin

  • USPS Zip Code Map

    ID: 536

  • Band Combination 3, 2, 1 [Landsat-7: ETM+]

    ID: 537

    Sensor: ETM+

  • SSCweb ephemerides (SSCweb)

    ID: 538

    Type: Ephemeris Collected by: NASA/GSFC Space Physics Data Facility

    Satellite ephemerides

    This dataset can be found at: http://sscweb.gsfc.nasa.gov

    Used on 38 pages.

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  • Comiso's Daily Sea Ice Concentration

    ID: 539

    Type: Data Compilation Collected by: NASA/GSFC

  • Comiso's September Minimum Sea Ice Concentration

    ID: 540

    Type: Data Compilation Collected by: NASA/GSFC

  • Comiso's Yearly Maximum Sea Ice Concentration

    ID: 541

    Type: Data Compilation Collected by: NASA/GSFC

  • Land Surface Reflectance [Terra: MODIS]

    ID: 542

    Sensor: MODIS Collected by: NASA

  • Anomalous Temperature Data

    ID: 544

    Collected by: NASA's Atmospheric Chemistry Modeling and Analysis Program

  • 750-nm Basemap [Clementine: UVVIS Camera]

    ID: 545

    Type: Mosaic Sensor: UVVIS Camera

  • DEM [KAGUYA: Laser Altimeter (LALT)]

    ID: 546

    Sensor: Laser Altimeter (LALT) Collected by: JAXA

    Formerly known as "SELENE".

    Used on 6 pages.

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  • Sea Ice Thickness [ICESat: GLAS]

    ID: 547

    Sensor: GLAS

  • [Apollo 15]

    ID: 548

  • Hipparcos Catalogue [Hipparcos: Telescope]

    ID: 549

    Type: Database Sensor: Telescope

  • Tycho Catalogue (Tycho 2 Catalogue) [Hipparcos: Telescope]

    ID: 550

    Type: Database Sensor: Telescope

  • Tycho DEM

    ID: 551

  • Mountaintop Elevation Data

    ID: 552

  • ULCN 2005 (Unified Lunar Control Network 2005)

    ID: 553

    Type: Data Compilation Collected by: USGS

    The ULCN 2005 (Unified Lunar Control Network 2005) is a lunar control point network that precisely measured 272,931 pieces of data produced by the USGS using existing lunar imagery or data from the Clementine and other observations.

    Used on 7 pages.

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  • [3D Unstructured-mesh Magnetosphere Simulation]

    ID: 554

    Type: Model Sensor: 3D Unstructured-mesh Magnetosphere Simulation

    Model generated by Dan Spicer, NASA

    Used on 6 pages.

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  • Tamarisk Suitability

    ID: 555

    J. Morisette, et al., includes data from NASA's Terra, Aqua, and Earth Observing-1 satellites, and the USGS Landsat satellites.

    This dataset can be found at: http://www.nasa.gov/vision/earth/environment/invasive_species.html

    Used on 3 pages.

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  • Land Cover [Terra and Aqua: MODIS]

    ID: 556

    Sensor: MODIS

  • Land Surface Temperature [Terra and Aqua: MODIS]

    ID: 557

    Sensor: MODIS

  • [GEOS-DAS]

    ID: 558

    Type: Model Sensor: GEOS-DAS Collected by: NASA/GSFC GMAO

    Goddard EOS Data Assimilation System

    Used on 1 page.

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  • [GEOS5-DAS]

    ID: 559

    Type: Model Sensor: GEOS5-DAS Collected by: NASA/GSFC GMAO

    The GEOS5 model with the DAS data preloaded when executed.

    Used on 4 pages.

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  • EVI [NOAA: AVHRR]

    ID: 560

    Sensor: AVHRR

  • Carbon Dioxide from Lake Vostok Ice Core

    ID: 561

  • Carbon Dioxide from Lawdome Ice Core

    ID: 562

  • Carbon Dioxide from Mauna Loa Measurements

    ID: 563

  • LRO-Simulated Ephemeris

    ID: 564

    Type: Ephemeris

  • Sea Surface Wind Anomaly

    ID: 565

  • Sun Spot Number

    ID: 566

    Collected by: Solar Influences Data Analysis Center (SIDC)

  • Water Vapor

    ID: 567

  • Historical Solar Radiance Data

    ID: 568

    Type: Data Compilation Collected by: NOAA

    Total solar irradiance describes the radiant energy emitted by the sun over all wavelengths that falls each second on 1 square meter outside the earth's atmosphere--a quantity proportional to the "solar constant" observed earlier in this century. It measures the solar energy flux in Watts/square meter. The data contains six sets of satellite observations: values from NIMBUS-7, from the Solar Maximum Mission (SMM) spacecraft, from the Earth Radiation Budget Satellite (ERBS), from the NOAA-9 and 10 platforms, and from the Upper Atmospheric Research Satellite (UARS). Measurements span the periods: NIMBUS-7 16 Nov 78-13 Dec 93; SMM 16 Feb 80-01 Jun 89; ERBS 25 Oct 84-21 Dec 94; NOAA-9 23 Jan 85-20 Dec 89; NOAA-10 22 Oct 86-01 Apr 87; UARS 5 Oct 91-30 Sep 94.

    This dataset can be found at: http://www.ngdc.noaa.gov/stp/SOLAR/IRRADIANCE/irrad.html

    Used on 1 page.

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  • Bathymetry [Terra: MODIS]

    ID: 569

    Sensor: MODIS

  • September Mean Sea Ice Extent [DMSP: SSM/I]

    ID: 571

    Sensor: SSM/I

  • Monthly Sea Ice Extent Climatology [DMSP: SSM/I]

    ID: 572

    Sensor: SSM/I

  • September Mean Sea Ice Concentration [DMSP: SSM/I]

    ID: 574

    Sensor: SSM/I

  • Sea Ice Climatology [DMSP: SSM/I]

    ID: 575

    Sensor: SSM/I

  • Model data derived from TOMS and ozone

    ID: 576

  • Photography Frames 9552, 9557, 9554, 9559 [Apollo 15: Panoramic Camera]

    ID: 577

    Sensor: Panoramic Camera

    litt_dem.bilDEM of the Littrow area of the Moon in an RAW binary format.
    Simple Cylidrical, 1 band. Arc: describe LITT_DEM
    Description of Grid LITT_DEM Cell Size(deg/pxl)=0.00034049743634 Data Type: Unsigned Int
    Number of Rows = 4308
    Number of Columns = 4619

           BOUNDARY                                STATISTICS
    

    Xmin = 29.904 Minimum Value = 1420.000

    Xmax = 31.477 Maximum Value = 4108.602

    Ymin = 19.387 Mean = 2432.915

    Ymax = 20.854 Standard Deviation = 630.217

                          COORDINATE SYSTEM DESCRIPTION
    

    Projection GEOGRAPHIC

    Datum NONE Note: Cell size in projection Sinusoidal is 10 meters/pixel

    Note: Null value is 0 litt_dem.bil -> raw image DEM

    litt_dem.hdr -> text header file

    litt_dem.blw -> text georeferencing world file

    litt_dem.stx -> text stats. file Trent M. Hare

    US Geological Survey

    thare@flagmail.wr.usgs.gov

    (520) 556-7126 Misc notes: -Compiled by Frank Schafer (USGS) at DMA Houston

    -This is a preliminary map before DMA control net was finished

    -datum was arbitrarly set

    -no specific project applied frames used for photogrammetry:

    Apollo 15 panoramic photography frames 9552,9557,9554,9559 frames used for control:

    -Apollo 15 frames 1112, 1113 by using camera orientation data

    -scale established from lunar orbiter IV, H-78 Sited in book:

    Apollo17 Preliminary Science Report

    Used on 1 page.

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  • Lunar Composite Texture [Clementine and HST: HIRES and the Telescope]

    ID: 578

    Sensor: HIRES and the Telescope

  • Infrared Global Geostationary Composite

    ID: 579

    Type: Data Compilation Collected by: National Center for Environmental Prediction/Aviation Weather Center (NCEP/AWS)

    Satellite Data Used to Produce WORLD-IR14KM Mosaic: GOES-11 - Southern hemisphere Band 4 10.7 um IR, Northern hemisphere Band 4 10.7 um IR; GOES-12 - Southern hemisphere Band 4 10.7 um IR, Northern hemisphere Band 4 10.7 um IR; Meteosat-7 - Band 8 11.5 um IR; Meteosat-9 - Band 9 10.8 um IR; MTSAT-1R - Band 2 10.8 um IR; NOAA-15 - Band 4 11 micron IR; NOAA-16 - Band 4 11 micron IR; NOAA-17 - Band 4 11 micron IR

    This dataset can be found at: http://ghrc.msfc.nasa.gov/uso/ds_catalog/globalir.html

    Used on 4 pages.

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  • Total Electron Content (TEC) [NAVSTAR: World-wide GPS Receiver Network]

    ID: 580

    Sensor: World-wide GPS Receiver Network

  • True Color [Aqua: MODIS]

    ID: 581

    Sensor: MODIS

  • GGCM [Geospace General Circulation Model (GGCM)]

    ID: 582

    Type: Model Sensor: Geospace General Circulation Model (GGCM) Collected by: University of New Hampshire

  • Total Attenuated Backscatter [CALIPSO: CALIOP]

    ID: 583

    Sensor: CALIOP

  • Band Combination 3, 2, 1 [Terra: ASTER]

    ID: 584

    Sensor: ASTER

  • GISTEMP [GISS Surface Temperature Analysis (GISTEMP)]

    ID: 585

    Type: Model Sensor: GISS Surface Temperature Analysis (GISTEMP) Collected by: NASA/GISS

    The GISS Surface Temperature Analysis version 4 (GISTEMP v4) is an estimate of global surface temperature change. Graphs and tables are updated around the middle of every month using current data files from NOAA GHCN v4 (meteorological stations) and ERSST v5 (ocean areas), combined as described in our publications Hansen et al. (2010), Lenssen et al. (2019), and Lenssen et al. (2024).

    Credit: Lenssen, N., G.A. Schmidt, M. Hendrickson, P. Jacobs, M. Menne, and R. Ruedy, 2024: A GISTEMPv4 observational uncertainty ensemble. J. Geophys. Res. Atmos., 129, no. 17, e2023JD040179, doi:10.1029/2023JD040179.

    This dataset can be found at: https://data.giss.nasa.gov/gistemp/

    Used on 57 pages.

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  • MM5 [Mesoscale Model Version 5 (MM5)]

    ID: 586

    Type: Model Sensor: Mesoscale Model Version 5 (MM5) Collected by: PSU/NCAR

    Model dataset from Penn State and The National Center for Atmospheric Research

    This dataset can be found at: http://met.psu.edu/tropical/charm/

    Used on 2 pages.

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  • G-band [Hinode (Solar-B): Solar Optical Telescope (SOT)]

    ID: 587

    Sensor: Solar Optical Telescope (SOT)

  • Cloud Cover [CloudSat: CPR]

    ID: 588

    Sensor: CPR

  • Wind [Aqua: AIRS]

    ID: 589

    Sensor: AIRS

  • Carbon Monoxide [Aqua: AIRS]

    ID: 590

    Sensor: AIRS

  • [Vertically Generalized Production Model (VGPM)]

    ID: 591

    Type: Model Sensor: Vertically Generalized Production Model (VGPM) Collected by: Oregon State University

    The VGPM gives global Net Primary Production (NPP) estimates for the SeaWiFS record that vary strongly with season and range from 3.8 to 4.631015 g of C per month.

    This dataset can be found at: http://web.science.oregonstate.edu/ocean.productivity/

    Used on 1 page.

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  • MEI (Multivariate ENSO Index (MEI))

    ID: 592

    Type: Data Compilation Collected by: NOAA

    The MEI is a multivariate index that incorporates sea level pressure, surface zonal and meridional wind components, sea surface temperature, surface air temperature, and cloudiness (Wolter and Timlin, 1998). The MEI index is calculated for the tropical Pacific (i.e., between 10[degrees]N and 10[degrees]S, from Asia to the Americas).

    This dataset can be found at: http://www.cdc.noaa.gov/people/klaus.wolter/MEI/

    Used on 1 page.

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  • GPCP Combined Precipitation Data Set

    ID: 593

    Type: Data Compilation Collected by: World Climate Research Program

  • Greenland Ice Sheet Melt Characteristics

    ID: 594

    Type: Data Compilation Collected by: NSIDC

  • [Omidi Magnetospheric Model]

    ID: 595

    Type: Model Sensor: Omidi Magnetospheric Model

    2.5-D Magnetospheric simuation

    Used on 1 page.

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  • Anthropogenic Aerosol Optical Depth [Terra: MODIS]

    ID: 596

    Sensor: MODIS

  • JPL/Horizon Orbital Ephemerides

    ID: 597

    Type: Ephemeris Collected by: NASA/JPL

    Planetary ephemerides

    This dataset can be found at: http://ssd.jpl.nasa.gov/?horizons

    Used on 27 pages.

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  • K-band Intersatellite Range Rate [Gravity Recovery and Climate Experiment (GRACE): KBR Horn]

    ID: 598

    Sensor: KBR Horn Collected by: JPL, the University of Texas and GeoForschungsZentrum Potsdam

  • LIMA (Landsat Image Mosaic of Antarctica) [Landsat-7: ETM+]

    ID: 599

    Type: Mosaic Sensor: ETM+ Collected by: NASA/GSFC, British Antarctic Survey, USGS EROS Data Center

    Mosaicing to avoid clouds produced a high quality, nearly cloud-free benchmark data set of Antarctica for the International Polar Year from images collected primarily during 1999-2003.

    This dataset can be found at: http://lima.nasa.gov/

    Used on 33 pages.

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  • CPC (Climate Prediction Center) Cloud Composite

    ID: 600

    Type: Data Compilation Collected by: Climate Prediction Center (CPC)

    Global cloud cover from multiple satellites

    Used on 63 pages.

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  • NDVI [SeaStar: SeaWiFS]

    ID: 601

    Sensor: SeaWiFS

    All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye.

    Credit: NASA/Goddard Space Flight Center, The SeaWiFS Project and GeoEye, Scientific Visualization Studio. NOTE: All SeaWiFS images and data presented on this web site are for research and educational use only. All commercial use of SeaWiFS data must be coordinated with GeoEye (NOTE: In January 2013, DigitalGlobe and GeoEye combined to become one DigitalGlobe.).

    Used on 10 pages.

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  • SIR (Scatterometer Image Reconstruction (SIR)) [QuikSCAT: SeaWinds]

    ID: 602

    Sensor: SeaWinds

  • West Greenland Glacier Inventory (Glacier Inventory of West Greenland)

    ID: 603

    Type: Data Compilation Collected by: NSIDC

  • Antarctic Names Database

    ID: 604

    Type: Database Collected by: USGS

  • The Atlas of Canada (Atlas of Canada, The)

    ID: 605

    Type: Atlas Collected by: Canada

  • The Antarctic Digital Database (ADD) (Antarctic Digital Database, The)

    ID: 606

    Type: Database

  • Received Echo Powers [CloudSat: CPR]

    ID: 607

    Sensor: CPR Collected by: NASA/JPL and the Canadian Space Agency (CSA)

    CloudSat data Level1 B CPR (Cloud Profiling Radar)

    This dataset can be found at: http://cloudsat.atmos.colostate.edu/instrument

    Used on 1 page.

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  • Sea Ice Concentration (Level 3 12.5 km Sea Ice Concentration) [Aqua: AMSR-E]

    ID: 608

    Sensor: AMSR-E

  • GLIMS Glacier Database

    ID: 609

    Type: Database Collected by: NSIDC

    Global Land Ice Measurements from Space (GLIMS) is an international project with the goal of surveying a majority of the world's estimated 160,000 glaciers. GLIMS uses data collected primarily by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument aboard the Terra satellite and the LANDSAT Enhanced Thematic Mapper Plus (ETM+), along with historical observations.

    This dataset can be found at: http://nsidc.org/data/nsidc-0272.html

    Used on 2 pages.

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  • North American Atlas

    ID: 610

    Type: Atlas

  • Groundwater Resources of the World

    ID: 611

    Type: Data Compilation Collected by: BGR and UNESCO

  • 1600 Angstroms [TRACE: Optical Telescope]

    ID: 612

    Sensor: Optical Telescope

  • Simulated MMS Ephemeris

    ID: 613

    Type: Ephemeris

  • Magnetic Field Lines (Luhmann-Friesen) [Luhmann-Friesen Magnetosphere Model (1979)]

    ID: 615

    Type: Model Sensor: Luhmann-Friesen Magnetosphere Model (1979)

    Journal of Geophysical Research, vol. 84, Aug. 1, 1979, p. 4405-4408

    This dataset can be found at: http://adsabs.harvard.edu/abs/1979JGR....84.4405L

    Used on 16 pages.

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  • SOHO/EIT 284 (284 Filter) [SOHO: Extreme-UV Imaging Telescope (EIT)]

    ID: 616

    Sensor: Extreme-UV Imaging Telescope (EIT) Collected by: NASA and ESA

  • SOHO/EIT 304 (304 Filter) [SOHO: Extreme-UV Imaging Telescope (EIT)]

    ID: 617

    Sensor: Extreme-UV Imaging Telescope (EIT) Collected by: NASA and ESA

  • Magnetogram [SOHO: Michelson Doppler Interferometer (MDI)]

    ID: 618

    Sensor: Michelson Doppler Interferometer (MDI) Collected by: NASA and ESA

  • Continuum [SOHO: Michelson Doppler Interferometer (MDI)]

    ID: 619

    Sensor: Michelson Doppler Interferometer (MDI) Collected by: NASA and ESA

  • 195 Angstroms [TRACE: Optical Telescope]

    ID: 620

    Sensor: Optical Telescope

  • White Light [TRACE: Optical Telescope]

    ID: 621

    Sensor: Optical Telescope

  • 195 Angstroms [STEREO: Extreme UltraViolet Imager (EUVI)]

    ID: 622

    Sensor: Extreme UltraViolet Imager (EUVI)

  • 171 Angstroms [STEREO: Extreme UltraViolet Imager (EUVI)]

    ID: 623

    Sensor: Extreme UltraViolet Imager (EUVI)

  • 304 Angstroms [STEREO: Extreme UltraViolet Imager (EUVI)]

    ID: 624

    Sensor: Extreme UltraViolet Imager (EUVI)

  • 284 Angstroms [STEREO: Extreme UltraViolet Imager (EUVI)]

    ID: 625

    Sensor: Extreme UltraViolet Imager (EUVI)

  • RAMP DEM (Radarsat Antarctic Mapping Project (RAMP) Digital Elevation Model (DEM))

    ID: 626

    Type: Data Compilation Collected by: NSIDC

  • MOA (MODIS Mosaic of Antarctica (MOA) Image Map) [Terra and Aqua: MODIS]

    ID: 627

    Type: Mosaic Sensor: MODIS Collected by: National Snow and Ice Data Center (NSIDC) and the University of New Hampshire

    Staff from the National Snow and Ice Data Center (NSIDC) and the University of New Hampshire have assembled two digital image maps of surface morphology and optical snow grain size that cover the Antarctic continent and its surrounding islands. The MODIS Mosaic of Antarctica (MOA) image maps are derived from composites of 260 MODIS (Moderate-resolution Imaging Spectroradiometer) orbit swaths acquired between 20 November 2003 and 29 February 2004. The MOA provides a cloud-free view of the ice sheet, ice shelves, and land surfaces, and a quantitative measure of optical snow grain size for snow- or ice-covered areas. All land areas larger than a few hundred meters that are south of 60° S are included in the mosaic, as well as persistent fast ice regions and some grounded icebergs present near the coast in the 2003-2004 austral summer. The MOA surface morphology image map is derived from digitally processed MODIS Band 1 data. The optical snow grain size image is compiled using a normalized ratio of atmospherically corrected, calibrated band radiance data from Bands 1 and 2.

    This dataset can be found at: http://nsidc.org/data/nsidc-0280.html

    Used on 14 pages.

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  • 171 Angstroms [TRACE: Optical Telescope]

    ID: 628

    Sensor: Optical Telescope

  • FAOSTAT-agriculture

    ID: 631

    Type: Database Collected by: Food and Agriculture Organization of the United Nations

  • VI (Composite Vegetation Index) [Terra and Aqua: MODIS]

    ID: 632

    Type: Data Compilation Sensor: MODIS Collected by: NASA

  • NDVI (Normalized Difference Vegetation Index (NDVI)) [Terra and Aqua: MODIS]

    ID: 633

    Sensor: MODIS Collected by: NASA

  • Surface Temperature Anomalies (Seasonal Global Surface Temperature Anomalies)

    ID: 634

    Meterological stations, ship, and satellite measurements of sea surface temperature

    This dataset can be found at: http://data.giss.nasa.gov/gistemp/2005

    Used on 6 pages.

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  • Photo

    ID: 635

  • Band Combination 4, 3, 2 [Landsat-5: TM]

    ID: 636

    Sensor: TM

  • Band Combination 4, 3, 2 [Landsat-4: TM]

    ID: 637

    Sensor: TM

  • Band Combination 4, 2, 1 [Landsat-1: MSS]

    ID: 638

    Sensor: MSS

  • Photo [Cessna: Camera]

    ID: 639

    Sensor: Camera

  • Sea Ice Concentrations (Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I Passive Microwave Data) [Nimbus-7 and DMSP: SMMR and SSM/I]

    ID: 640

    Sensor: SMMR and SSM/I

    This data set is generated from brightness temperature data derived from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and Defense Meteorological Satellite Program (DMSP) -F8, -F11 and -F13 Special Sensor Microwave/Imager (SSM/I) radiances at a grid cell size of 25 x 25 km. The data are provided in the polar stereographic projection.

    This dataset can be found at: http://nsidc.org/data/nsidc-0051.html

    Used on 6 pages.

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  • [Simulated Jupiter Wind Flow Field]

    ID: 641

    Type: Model Sensor: Simulated Jupiter Wind Flow Field

  • Shoemaker-Levy 9 Comet Fragment Ephemerides

    ID: 644

    Type: Ephemeris

  • Cassini/Jupiter imagery [Cassini: Imaging Science Subsystem]

    ID: 645

    Type: Mosaic Sensor: Imaging Science Subsystem Collected by: Cassini Imagery/Central Laboratory for OPerations

    Cassini/Jupiter imagery

    This dataset can be found at: http://ciclops.org/

    Used on 9 pages.

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  • [Voyager-1: Imaging Science Subsystem]

    ID: 646

    Type: Mosaic Sensor: Imaging Science Subsystem

  • [Voyager-2: Imaging Science Subsystem]

    ID: 647

    Type: Mosaic Sensor: Imaging Science Subsystem

  • Highland, MD Bee Hive Weight

    ID: 648

    Type: Data Compilation Collected by: HoneyBeeNet

  • True Color (Band Combination 1, 4, 3) [Terra and Aqua: MODIS]

    ID: 649

    Sensor: MODIS Collected by: NASA

  • Band Combination 7, 4, 2 [Landsat-7: ETM+]

    ID: 650

    Sensor: ETM+

  • ETOPO2 (2-minute Gridded Global Relief Data)

    ID: 651

    Type: Data Compilation Collected by: NOAA NGDC

  • NAC (Narrow Angle Camera) [LRO: LROC]

    ID: 652

    Sensor: LROC

  • DEM (Digital Elevation Map) [LRO: LOLA]

    ID: 653

    Sensor: LOLA

  • GDEM (Global Digital Elevation Model) [Terra: ASTER]

    ID: 654

    Sensor: ASTER Collected by: Developed jointly by the Ministry of Economy, Trade, and Industry (METI) of Japan and the United States National Aeronautics and Space Administration (NASA).

    Credit: ASTER GDEM is a product of METI and NASA.

    Used on 3 pages.

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  • [HST: WFPC2]

    ID: 655

    Sensor: WFPC2

    Wide-Field Planetary Camera 2 (WFPC2) was installed in Dec 1993 and used to obtain high resolution images of astronomical objects. This camera was removed in the last servicing mission so it is no longer in service.

    This dataset can be found at: http://www.stsci.edu/hst/wfpc2/wfpc2_diag.html

    Used on 70 pages.

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  • Sea Surface Temperature-Net Primary Productivity Correlation

    ID: 656

    Behrenfeld at. al., Nature 444, 752-755 (7 December 2006)

    Used on 4 pages.

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  • Operation Ice Bridge Flight Paths

    ID: 657

    NASA DC-8 Flight Path

    Used on 7 pages.

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  • Temperature (World Ocean Atlas 2005 (WOA05) Annual Temperature Climatology)

    ID: 659

    Type: Atlas

  • Differential Flux (0.9-1.5 keV) [IBEX: IBEX-Hi]

    ID: 660

    Type: Mosaic Sensor: IBEX-Hi

  • GRUMP alpha (Population Density Data from CIESIN's Global Rural-Urban Mapping Project, alpha version (GRUMP alpha))

    ID: 661

    Collected by: CIESIN

  • [LCROSS]

    ID: 662

    Collected by: NASA

    Lunar Crater Observation and Sensing Satellite

    Used on 1 page.

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  • GEOS-5 Cubed-Sphere (GEOS-5 Atmospheric Model on the Cubed-Sphere)

    ID: 663

    Type: Model Collected by: NASA GMAO

    The model is the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 30-days. GEOS-5 is described here http://gmao.gsfc.nasa.gov/systems/geos5/ and the cubed-sphere work is described here http://sivo.gsfc.nasa.gov/cubedsphere_overview.html.

    Used on 44 pages.

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  • WRF (WRF Computational Model)

    ID: 664

    Type: Model

  • GEOS Atmospheric Model

    ID: 665

    Type: Model Collected by: NASA GMAO

  • Mascon Solution [Gravity Recovery and Climate Experiment (GRACE): Star Camera]

    ID: 666

    Sensor: Star Camera Collected by: NASA

  • Arctic Temperature Trends [NOAA-7, 9, 11, 14, 16, 17, 18: AVHRR]

    ID: 667

    Type: Data Compilation Sensor: AVHRR Collected by: Josefino Comiso

  • SSH (Sea Surface Height) [Jason-2: CNES Poseidon-3 Altimeter]

    ID: 668

    Sensor: CNES Poseidon-3 Altimeter

  • SSH (Sea Surface Height) [Envisat: Radar Altimeter 2 (RA-2)]

    ID: 669

    Sensor: Radar Altimeter 2 (RA-2) Collected by: ESA

  • Lat-Lon GPS Coordinates

    ID: 670

    Type: Data Compilation Collected by: NASA and the Norwegian Polar Institute

  • Keeling Curve (In Situ CO2 Monthly)

    ID: 671

    Type: Data Compilation Collected by: Scripps

  • Neutrons [LRO: LEND]

    ID: 672

    Type: Database Sensor: LEND

  • SDO Continuum (Continuum) [SDO: HMI]

    ID: 674

    Sensor: HMI

  • SDO Magnetogram (Magnetogram) [SDO: HMI]

    ID: 675

    Type: Data Compilation Sensor: HMI

  • SDO Dopplergram (Dopplergram) [SDO: HMI]

    ID: 676

    Sensor: HMI

  • AIA 304 (304 Filter) [SDO: AIA]

    ID: 677

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • AIA 211 (211 Filter) [SDO: AIA]

    ID: 678

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • AIA 193 (193 Filter) [SDO: AIA]

    ID: 679

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • AIA 171 (171 Filter) [SDO: AIA]

    ID: 680

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • CAMEX-4 Dropsonde-based Heat

    ID: 681

  • GTDR (Global Topography) [Magellan: Radar]

    ID: 682

    Type: Mosaic Sensor: Radar Collected by: MIT

  • GSDR (Global Slope) [Magellan: Radar]

    ID: 683

    Type: Mosaic Sensor: Radar Collected by: MIT

  • MERRA

    ID: 684

    Type: Analysis

  • Enlil Heliospheric Model (Enlil Heliospheric Model)

    ID: 685

    Type: Model Collected by: Community Coordinated Modeling Center (CCMC)

    MHD solar wind simulation

    Used on 25 pages.

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  • BATS-R-US Magnetosphere Model

    ID: 686

    Type: Model Collected by: Community Coordinated Modeling Center (CCMC)

    MHD Magnetospheric simulation

    Used on 11 pages.

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  • [Fermi]

    ID: 687

  • [WMAP]

    ID: 688

  • Sloan (Sloan Digital Sky Survey (SDSS))

    ID: 689

  • [Spitzer Space Telescope]

    ID: 690

    Collected by: NASA JPL/Cal Tech

  • [Cosmic Background Explorer (COBE)]

    ID: 691

    Collected by: NASA

  • [Suzaku]

    ID: 692

  • [RHESSI]

    ID: 693

  • [International X-ray Observatory (IXO)]

    ID: 694

    Collected by: NASA, ESA, and JAXA

    IXO is the result of the merging of NASA's Constellation-X and ESA/JAXA's XEUS mission concepts.

    This dataset can be found at: http://ixo.gsfc.nasa.gov/

    Used on 1 page.

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  • QuikSCAT Detection of Snowmelt on the Greenland Ice Sheet [QuikSCAT: SeaWinds]

    ID: 695

    Sensor: SeaWinds

  • Land Surface Temperature [Terra: MODIS]

    ID: 696

    Sensor: MODIS

  • Leaf Area Index (FPAR/LAI) [Terra: MODIS]

    ID: 697

    Sensor: MODIS

  • Crop Intensity (Crop Intensity 1KM)

    ID: 698

    Collected by: USDA/FAS and University of South Dakota

  • AVISO: NRT-MSLA (AVISO: Near Real Time - Merged Sea Level Anomalies)

    ID: 699

    Type: Data Compilation Collected by: CNES, CLS

    Combined product from data taken by Envisat, Jason-1, and Jason-2

    Used on 3 pages.

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  • Parallel Attenuated Backscatter 532 [CALIPSO: CALIOP]

    ID: 700

    Sensor: CALIOP Collected by: NASA

  • LRO LAMP (Lyman alpha and UV) [LRO: LAMP]

    ID: 701

    Type: Data Compilation Sensor: LAMP

  • Ash Detection and Height [EUMETSAT: Spinning Enhanced Visible and Infrared Imager (SEVIRI)]

    ID: 703

    Type: Data Compilation Sensor: Spinning Enhanced Visible and Infrared Imager (SEVIRI) Collected by: NOAA/NESDIS/STAR

  • Calving Front Line [Landsat: TM]

    ID: 704

    Type: Analysis Sensor: TM

    Calving front lines derived from Landsat imagery.

    Used on 6 pages.

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  • Calving Front Lines [Terra: ASTER]

    ID: 705

    Type: Analysis Sensor: ASTER

    Calving front lines derived from Terra/ASTER imagery.

    Used on 6 pages.

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  • Fermi GBM TGF (Terrestrial Gamma Flashes) [Fermi: Gamma Ray Burst Monitor]

    ID: 706

    Type: Data Compilation Sensor: Gamma Ray Burst Monitor Collected by: NASA/MSFC

  • ECCO2 (ECCO2 High Resolution Ocean and Sea Ice Model)

    ID: 707

    Type: Model Collected by: NASA/JPL

  • FSK CO2 (9day window CO2) [Aqua: AIRS]

    ID: 708

    Type: Analysis Sensor: AIRS Collected by: NASA/JPL

  • CPC ARC (Climate Prediction Center (CPC) Africa Rainfall Estimate Climatology)

    ID: 709

    Type: Data Compilation Collected by: NOAA CPC

    Input data used for operational rainfall estimates are from 4 sources: 1) Daily GTS rain gauge data for up to 1000 stations 2) AMSU microwave satellite precipitation estimates up to 4 times per day 3) SSM/I satellite rainfall estimates up to 4 times per day 4) GPI cloud-top IR temperature precipitation estimates on a half-hour basis.

    This dataset can be found at: http://www.cpc.ncep.noaa.gov/products/fews/AFR_CLIM/afr_clim.shtml

    Used on 1 page.

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  • AIA 1700 (1700 Filter) [SDO: AIA]

    ID: 710

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • Lat-Lon Altitude Flight Coordinates

    ID: 711

    Type: Database Collected by: NASA/LaRC

  • GOCART (Goddard Chemistry Aerosol and Transport (GOCART) )

    ID: 712

    Type: Model Collected by: NASA/GSFC

  • Total Precipitation (mm./day) (PRECTOT (mm./day)) [Attribution of the Extreme U.S. East Coast Snowstorm Activity of 2010]

    ID: 713

    Type: Model Sensor: Attribution of the Extreme U.S. East Coast Snowstorm Activity of 2010 Collected by: NASA

  • Ice and Snow (Pixel Reliability (value=2)) [Terra and Aqua: MODIS]

    ID: 714

    Type: Analysis Sensor: MODIS

  • Kaguya Stereo DEM (DTM) [KAGUYA: LISM]

    ID: 715

    Type: Model Sensor: LISM Collected by: JAXA

    Formerly known as "SELENE".

    Used on 2 pages.

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  • GLA14 (L2 Global Land Surface Altimetry Data) [ICESat: GLAS]

    ID: 716

    Sensor: GLAS Collected by: NASA

  • L2 Icessn Elevation, Slope, and Roughness [IceBridge: ATM]

    ID: 717

    Sensor: ATM Collected by: NASA

  • L2 Icessn Elevation, Slope, and Roughness [Pre-IceBridge: ATM]

    ID: 718

    Sensor: ATM Collected by: NASA

  • BLVIS2 (L2 Geolocated Ground Elevation and Return Energy Quartiles) [Pre-IceBridge: LVIS]

    ID: 719

    Sensor: LVIS Collected by: NASA

  • Differential Interferometry [ERS-1 and ERS-2: SAR]

    ID: 720

    Sensor: SAR Collected by: European Space Agency

  • L-band frequency (1.27 GHz) radar [Advanced Land Observation System (ALOS): Phased-Array Synthetic-Aperture Radar (PALSAR)]

    ID: 721

    Sensor: Phased-Array Synthetic-Aperture Radar (PALSAR) Collected by: Japan Aerospace Exploration Agency

  • VIIRS [Suomi NPP: VIIRS]

    ID: 722

    Sensor: VIIRS

  • GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland [ICESat: GLAS]

    ID: 723

    Sensor: GLAS

  • UCAC3 (Catalog) [U.S. Naval Observatory: Third CCD Astrograph]

    ID: 724

    Type: Database Sensor: Third CCD Astrograph Collected by: USNO

  • Monthly global gravity field solutions [Gravity Recovery and Climate Experiment (GRACE): Star Camera]

    ID: 725

    Sensor: Star Camera Collected by: Center for Space Research at the University of Texas

  • Digital Chart of the World Glacier Locations

    ID: 726

    Type: Data Compilation Collected by: US Defense Mapping Agency

  • DC-8 Flight Path (Flight Path) [DC-8: DDS]

    ID: 727

    Sensor: DDS

  • Comiso's Multi-year Sea Ice Concentration [DMSP: SSM/I]

    ID: 728

    Type: Data Compilation Sensor: SSM/I Collected by: NASA/GSFC

  • DMS Photogrammetry [Digital Mapping System]

    ID: 729

    Sensor: Digital Mapping System Collected by: NASA Ames Airborne Sensor Facility (DMS), Fireball International Services Corp., Cirrus Digital Systems

  • AIA 131 (131 Filter) [SDO: AIA]

    ID: 730

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • ICESCAPE-Chlorophyll-a (Chlorophyll a) [ICESCAPE Ship (USCGC Healy): Canister]

    ID: 731

    Sensor: Canister Collected by: NASA

  • Shortwave Flux TOA [Suomi NPP: CERES]

    ID: 732

    Sensor: CERES

  • Longwave Flux TOA [Suomi NPP: CERES]

    ID: 733

    Sensor: CERES

  • MODIS Cloud-gap-filled (CGF) Product (Cloud-gap-filled MODIS daily snow-cover product) [Terra: MODIS]

    ID: 734

    Type: Data Compilation Sensor: MODIS

    The MODIS CGF product seeks to provide clear snow observations by filling cloudy areas on a given day with clear observations from previous days. The usual source data for this product is the MOD10C1 MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG, Version 5 and a variant has been coded that can use MOD10A1 MODIS/Aqua Snow Cover Daily L3 Global 500m Grid, Version 5 as source.

    This dataset can be found at: http://www.sciencedirect.com/science/article/pil/S0034425709003162

    Used on 1 page.

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  • Apollo 8 Trajectory Reconstruction

    ID: 735

    Type: Ephemeris Collected by: NASA

  • Standish Approximate Planetary Ephemerides

    ID: 736

    Type: Ephemeris Collected by: NASA/JPL

  • RTopo-1

    ID: 737

    Type: Data Compilation Collected by: Alfred Wegener Institute, British Antarctic Survey, Lamont-Doherty Earth Observatory

  • CO2 Climatology [Aqua: AIRS]

    ID: 738

    Type: Data Compilation Sensor: AIRS

  • NDVI [Aqua: MODIS]

    ID: 739

    Type: Data Compilation Sensor: MODIS

  • Band Combination 5, 7, 4 [Landsat-3: MSS]

    ID: 740

    Sensor: MSS

  • Band Combination 3, 4, 2 [Landsat-5: TM]

    ID: 741

    Sensor: TM

  • Band Combination 5, 4, 3 [Landsat-7: ETM+]

    ID: 742

    Sensor: ETM+

  • GISS Climate Dice Analysis

    ID: 743

    Type: Observed Data Collected by: NASA/GSFC GISS

  • GIMP Greenland DEM (Greenland Mapping Project (GIMP) Digital Elevation Model)

    ID: 746

    Type: Data Compilation Collected by: Courtesy of Ian Howat, OSU

  • Digital Mosaic of Ice Motion in Greenland

    ID: 747

    Type: Data Compilation Collected by: NASA JPL and UC, Irvine

    Digital Mosaic of Ice Motion in Greenland from satellite radar interferometry data acquired during the International Polar Year 2008 to 2009 by the Envisat Advanced Synthetic-Aperture Radar (ASAR), the Advanced Land Observation System (ALOS)'s Phase-Array L-band SAR (PALSAR) and the RADARSAT-1 SAR

    Used on 2 pages.

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  • AIA 335 (335 Filter) [SDO: AIA]

    ID: 748

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • AIA 94 (94 Filter) [SDO: AIA]

    ID: 749

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • OSCAR Ocean Surface Current Analysis

    ID: 751

    Type: Analysis Collected by: NOAA

  • DE421 (JPL DE421)

    ID: 752

    Type: Ephemeris Collected by: NASA/JPL

  • Space-Track TLE (Space-Track Two-Line Elements)

    ID: 753

    Type: Ephemeris Collected by: NORAD

    Satellite ephemerides

    This dataset can be found at: http://Space-Track.org

    Used on 17 pages.

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  • STK Ephemeris (Satellite ToolKit Ephemeris)

    ID: 754

    Type: Ephemeris Collected by: STK

    Satellite ephemerides

    Used on 4 pages.

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  • SPICE Ephemerides (SPICE Ephemerides)

    ID: 755

    Type: Ephemeris Collected by: NASA/JPL

    Satellite and planetary ephemerides

    Used on 34 pages.

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  • Average Sea Ice Minimum (Comiso's Average Sea Ice Minimum from 1979 through 2010) [DMSP: SSMI]

    ID: 756

    Type: Data Compilation Sensor: SSMI Collected by: NASA

  • AIA 1600 (1600 Filter) [SDO: AIA]

    ID: 757

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • AIA 4500 (4500 Filter) [SDO: AIA]

    ID: 758

    Sensor: AIA Collected by: JOINT SCIENCE OPERATIONS CENTER

  • Surface Flux

    ID: 759

    Type: Model Collected by: NOAA/OAR/ESRL PSD

    Wind data provided by NCEP Reanalysis project at the Earth System Research Laboratory Physical Sciences Division of NOAA's Office of Oceanic and Atmospheric Research, in Boulder, Colorado, USA.

    This dataset can be found at: http://www.esrl.noaa.gov/psd/

    Used on 1 page.

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  • PIA15689 [Opportunity: Panoramic Camera]

    ID: 760

    Sensor: Panoramic Camera

  • Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data

    ID: 761

    Type: Data Compilation Collected by: NSIDC

    This data set is generated from brightness temperature data derived from the following sensors: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Defense Meteorological Satellite Program (DMSP) -F8, -F11 and -F13 Special Sensor Microwave/Imagers (SSM/Is), and the DMSP-F17 Special Sensor Microwave Imager/Sounder (SSMIS). The data are provided in the polar stereographic projection at a grid cell size of 25 x 25 km. This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) spanning the coverage of several passive microwave instruments. To aid in this goal, sea ice algorithm coefficients are changed to reduce differences in sea ice extent and area as estimated using the SMMR and SSM/I sensors. The data are generated using the NASA Team algorithm developed by the Oceans and Ice Branch, Laboratory for Hydrospheric Processes at NASA Goddard Space Flight Center (GSFC).

    This dataset can be found at: http://nsidc.org/data/nsidc-0051.html

    Used on 2 pages.

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  • SSI (Ultraviolet Spectral Solar Irradiance) [SDO: EVE]

    ID: 762

    Type: Observed Data Sensor: EVE Collected by: Laboratory for Atmospheric and Space Physics

  • [SDO: Extreme Ultraviolet Variability Experiment (EVE)]

    ID: 763

    Type: Observed Data Sensor: Extreme Ultraviolet Variability Experiment (EVE)

  • LandTrendr

    ID: 764

    Type: Analysis Collected by: Oregon State University

    The Landsat satellites have witnessed decades of change on the Earth's surface. Algorithms in LandTrendr

    This dataset can be found at: http://landtrendr.forestry.oregonstate.edu

    Used on 3 pages.

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  • WHI 2008 (Solar Spectral Irradiance Reference Spectra)

    ID: 765

    Type: Data Compilation

  • GRAIL Free-Air Gravity (Free-Air Gravity) [GRAIL: Lunar Gravity Ranging System]

    ID: 766

    Type: Analysis Sensor: Lunar Gravity Ranging System Collected by: NASA

  • GRAIL Bouguer Gravity (Bouguer Gravity) [GRAIL: Lunar Gravity Ranging System]

    ID: 767

    Type: Analysis Sensor: Lunar Gravity Ranging System Collected by: NASA

  • GRAIL Crustal Thickness (Crustal Thickness) [GRAIL: Lunar Gravity Ranging System]

    ID: 768

    Type: Analysis Sensor: Lunar Gravity Ranging System Collected by: NASA

  • Band Combination 7,4,2 [Landsat-5: TM]

    ID: 769

    Sensor: TM

  • Greenland Ice Sheet Velocity

    ID: 770

    Collected by: JPL

    Assembled from satellite radar interferometry data acquired during the International Polar Year (2008-2009). The satellites are Envisat Advanced Synthetic-Aperture Radar (ASAR), Advanced Land Observation System's (ALOS) Phase-Array L-band SAR (PALSAR), RADARSAT-1 SAR

    Used on 3 pages.

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  • Coupled Model Intercomparison Project Phase 3 (CMIP3)

    ID: 771

    Type: Model Collected by: World Climate Research Program (WCRP)

  • GRIP High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) [Global Hawk UAV: HIWRAP]

    ID: 772

    Type: Observed Data Sensor: HIWRAP

  • SSS (Sea Surface Salinity) [Aquarius: Microwave Radiometer]

    ID: 774

    Type: Observed Data Sensor: Microwave Radiometer Collected by: NASA

  • [Terra and Aqua: MODIS]

    ID: 775

    Sensor: MODIS

  • ALEXI

    ID: 776

    Type: Data Compilation

  • Land Data Assimilation System (LDAS)

    ID: 777

    Type: Model Collected by: NASA

  • IMS Daily Northern Hemisphere Snow and Ice Analysis (IMS Daily Northern Hemisphere Snow and Ice Analysis - 24 km Resolution) [Interactive Multisensor Snow and Ice Mapping System (IMS)]

    ID: 778

    Type: Analysis Collected by: NOAA

  • Glacier Area by Region: Randolph Glacier Inventory 3.0 (Arendt et al., 2012)

    ID: 779

    Type: Data Compilation

  • Glacier Mass Budget by Region: GRACE, ICESat, and glaciological records

    ID: 780

    Type: Data Compilation

  • CCSM

    ID: 781

    Type: Model Collected by: NCAR

  • Crop NDVI Anomaly [Terra and Aqua: MODIS]

    ID: 782

    Type: Data Compilation Sensor: MODIS

  • True Color (Band Combination 2,3,4) [Landsat-8: OLI]

    ID: 784

    Type: Observed Data Sensor: OLI

  • Bedmap (Antarctic Bedmap Topography)

    ID: 785

    Type: Data Compilation Collected by: British Antarctic Survey

  • Bedmap2 (Antarctic Bedmap2 Topography)

    ID: 786

    Type: Data Compilation Collected by: British Antarctic Survey

  • Antarctic Ice Sheet Velocity

    ID: 787

    Type: Data Compilation Collected by: JPL

  • Antarctic Bedmap2 Ice Thickness

    ID: 788

    Type: Data Compilation Collected by: British Antarctic Survey

  • Antarctic Bedmap2 Ice Surface Elevation

    ID: 789

    Type: Data Compilation Collected by: British Antarctic Survey

  • [Landsat-8: TIRS]

    ID: 790

    Type: Observed Data Sensor: TIRS

  • [Curiosity: Mars Hand Lens Imager (MAHLI)]

    ID: 791

    Sensor: Mars Hand Lens Imager (MAHLI)

  • GOME-2 Solar Induced Fluorescence at 740 nm [MetOp: GOME-2]

    ID: 792

    Type: Observed Data Sensor: GOME-2 Collected by: ESA

  • CMG (MODIS Climate Modeling Grid) [Terra and Aqua: MODIS]

    ID: 793

    Type: Data Compilation Sensor: MODIS

  • Limb Data [Suomi NPP: Ozone Mapping Profiler Suite (OMPS)]

    ID: 794

    Type: Observed Data Sensor: Ozone Mapping Profiler Suite (OMPS) Collected by: NASA

  • 10 km Daily Sea Ice Concentration [SHIZUKU (GCOM-W1): AMSR2]

    ID: 795

    Type: Observed Data Sensor: AMSR2 Collected by: Japan Aerospace Exploration Agency

    Credit: AMSR2 data courtesy of the Japan Aerospace Exploration Agency (JAXA).

    Used on 58 pages.

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  • 10 km Daily 89 GHz Brightness Temperature [SHIZUKU (GCOM-W1): AMSR2]

    ID: 796

    Type: Observed Data Sensor: AMSR2 Collected by: Japan Aerospace Exploration Agency

    Credit: AMSR2 data courtesy of the Japan Aerospace Exploration Agency (JAXA).

    Used on 53 pages.

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  • CMIP5 (Coupled Model Intercomparison Project Phase 5)

    ID: 797

    Type: Model Collected by: IPCC AR5

  • Greenland bed elevation dataset by Bamber, et al., 2013

    ID: 798

    Type: Data Compilation Collected by: Bristol Glaciology Centre, University of Bristol

  • CPL (Attenuated Backscatter) [Global Hawk: Cloud Physics Lidar]

    ID: 799

    Sensor: Cloud Physics Lidar Collected by: NASA

  • Relative Humidity [Global Hawk: Dropsondes]

    ID: 800

    Type: Observed Data Sensor: Dropsondes Collected by: NASA HS3

  • Temperature Anomalies [Global Hawk: Dropsondes]

    ID: 801

    Type: Observed Data Sensor: Dropsondes Collected by: NASA HS3

  • ECCO3 High Resolution Ocean and Sea Ice Model

    ID: 802

    Type: Model Collected by: NASA/JPL

  • WAC 643nm High Sun Global Mosaic [LRO: LROC]

    ID: 803

    Type: Mosaic Sensor: LROC

  • [Sounding Rocket: HI-C]

    ID: 804

    Sensor: HI-C

  • [Van Allen Probes]

    ID: 805

    formerly known as the Radiation Belt Storm Probes (RBSP)

    This dataset can be found at: http://www.nasa.gov/mission_pages/rbsp/main/

    Used on 1 page.

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  • CMB (Cosmic Microwave Background) [Planck: HFI and LFI]

    ID: 806

    Type: Observed Data Sensor: HFI and LFI Collected by: ESA, Planck Collaboration

  • [Kepler]

    ID: 807

    Collected by: NASA

  • [Herschel Space Telescope]

    ID: 808

    Collected by: ESA

  • MOA1km (Mosaic of Antarctica) [Aqua: MODIS]

    ID: 809

    Sensor: MODIS

  • freq185 (Frequency_less_185k) [Aqua: MODIS]

    ID: 810

    Sensor: MODIS

  • freq181 (Frequency_less_181K) [Aqua: MODIS]

    ID: 811

    Sensor: MODIS

  • GSFC Flight Dynamics Facility Ephemeris

    ID: 812

    Type: Ephemeris Collected by: GSFC/FDF

  • SMMR (Sea Ice Concentration) [Nimbus-7: SMMR]

    ID: 814

    Type: Observed Data Sensor: SMMR Collected by: NSIDC

  • NSIDC SSMI (Sea Ice Concentration) [DMSP: SSM/I]

    ID: 815

    Type: Observed Data Sensor: SSM/I Collected by: NSIDC

  • Slit-Jaw Imager (SJI) [IRIS: Imager]

    ID: 816

    Type: Observed Data Sensor: Imager Collected by: LMSAL

  • [SOFIA: FORCAST]

    ID: 818

    Type: Observed Data Sensor: FORCAST Collected by: NASA AMES/ DLR Germany

  • Annual Elevation of the Greenland Ice Sheet from 2003 through 2012 [ICESat and IceBridge]

    ID: 819

    Type: Data Compilation Collected by: University at Buffalo

  • HadGHCND Gridded Daily Ground Temperature

    ID: 820

    Type: Observed Data Collected by: Hadley Centre

  • Brightness Temperature [GPM: GMI]

    ID: 821

    Type: Observed Data Sensor: GMI

    Credit: Data provided by the joint NASA/JAXA GPM mission.

    Used on 3 pages.

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  • Rain Rates (Surface Precipitation) [GPM: GMI]

    ID: 822

    Sensor: GMI

    Credit: Data provided by the joint NASA/JAXA GPM mission.

    Used on 87 pages.

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  • EVI (Enhanced Vegetation Index) [Terra and Aqua: MODIS]

    ID: 823

    Type: Analysis Sensor: MODIS

  • Hinode XRT [Hinode: X-ray Telescope (XRT)]

    ID: 824

    Type: Observed Data Sensor: X-ray Telescope (XRT) Collected by: JAXA

  • [Sacramento Peak Observatory/NSO]

    ID: 825

    Type: Observed Data Collected by: National Solar Observatory

  • Glacier Grounding Lines

    ID: 826

    Type: Analysis Collected by: NASA/JPL

  • Annual Ice Sheet Velocity for Amdunsen Sea Embayment

    ID: 827

    Type: Data Compilation Collected by: NASA/JPL

  • ECT [Van Allen Probes: Energetic Particle, Composition, and Thermal Plasma Suite]

    ID: 828

    Type: Observed Data Sensor: Energetic Particle, Composition, and Thermal Plasma Suite Collected by: University of New Hampshire

  • [NuSTAR]

    ID: 829

  • Volumetric Precipitation data (Ku) [GPM: DPR]

    ID: 830

    Type: Observed Data Sensor: DPR Collected by: JAXA

    Credit: Data provided by the joint NASA/JAXA GPM mission.

    Used on 79 pages.

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  • [Hubble Space Telescope]

    ID: 831

    Type: Observed Data

  • EUVI (195 Angstroms) [STEREO-B: Extreme UltraViolet Imager]

    ID: 832

    Type: Observed Data Sensor: Extreme UltraViolet Imager

  • EUVI (304 Angstroms) [STEREO-B: Extreme UltraViolet Imager]

    ID: 833

    Type: Observed Data Sensor: Extreme UltraViolet Imager

  • COR2 [STEREO-B: Coronograph 2]

    ID: 834

    Type: Observed Data Sensor: Coronograph 2

  • Stereo DEM [LRO: LROC NAC]

    ID: 835

    Type: Model Sensor: LROC NAC

  • rain rates (precipitation rates) [SHIZUKU (GCOM-W1): AMSR2]

    ID: 836

    Sensor: AMSR2 Collected by: JAXA

    Credit: AMSR2 data courtesy of the Japan Aerospace Exploration Agency (JAXA).

    Used on 1 page.

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  • Rain Rates (Precipitation) [DMSP F16: SSMI]

    ID: 837

    Type: Observed Data Sensor: SSMI Collected by: NOAA & Air Force Space Command

  • Rain Rates (Precipitation) [DMSP F17: SSMI]

    ID: 838

    Type: Observed Data Sensor: SSMI Collected by: NOAA & Air Force Space Command

  • Rain Rates (Precipitation) [DMSP F18: SSMI]

    ID: 839

    Type: Observed Data Sensor: SSMI Collected by: NOAA & Air Force Space Command

  • HS3 Wind Vector Field (Wind Vector) [HS3 Global Hawk: Dropsonde]

    ID: 840

    Type: Mosaic Sensor: Dropsonde

  • PIOMAS Monthly Average Arctic Sea Ice Volume

    ID: 841

    Type: Model Collected by: APL/PSC

  • [Curiosity: Mastcam]

    ID: 842

    Sensor: Mastcam

  • GHRSST Level 4 AVHRR_OI Global Blended Sea Surface Temperature Analysis [InSitu and NOAA 16, 17, 18, 11, 7, 9, 14: InSitu and AVHRR-3 and AVHRR-2]

    ID: 843

    Type: Analysis Sensor: InSitu and AVHRR-3 and AVHRR-2

  • CCMP (Cross-Calibrated Multi-Platform Ocean Surface Wind Vector Analyses)

    ID: 844

    Type: Data Compilation Collected by: JPL PO DAAC

  • MUR SST (Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) Analysis)

    ID: 845

    Type: Analysis Collected by: JPL PO DAAC

  • ParticleSimulator

    ID: 846

    Type: Model

  • NASA Earth Exchange (NEX) Downscaled Climate Projections (NEX-DCP30)

    ID: 847

    Type: Model

  • SDO QuickLook Product (SDO QuickLook JPEG2000 Product) [SDO: AIA]

    ID: 848

    Type: Observed Data Sensor: AIA

  • GOES X-ray Flux (Data List) [GOES: X-Ray]

    ID: 849

    Type: Observed Data Sensor: X-Ray

  • Operation IceBridge Flight Paths [Aircraft]

    ID: 850

  • Pre-IceBridge Flight Paths [Aircraft]

    ID: 851

  • Greenland Ice Sheet Inferred 3-D Age Volume

    ID: 852

    Type: Data Compilation Collected by: Univ. of Texas, Austin

  • Greenland Mass Conservation Dataset - Surface Elevation

    ID: 853

    Type: Data Compilation Collected by: Ice Sheet Modeling Group, UC, Irvine

  • Greenland Mass Conservation Dataset - Bed Topography

    ID: 854

    Type: Data Compilation Collected by: Ice Sheet Modeling Group, UC, Irvine

  • Greenland Mass Conservation Dataset - Ice Thickness

    ID: 855

    Type: Data Compilation Collected by: Ice Sheet Modeling Group - UC, Irvine

  • L1B Geolocated Radar Echo Strength Profiles, Version 2 [IceBridge: MCoRDS]

    ID: 857

    Type: Observed Data Sensor: MCoRDS Collected by: Center for Remote Sensing of Ice Sheet (CReSIS)

  • MODIS Mosaic of Greenland (MOG) Image Map [Terra: MODIS]

    ID: 858

    Type: Mosaic Sensor: MODIS

  • Global Mosaic [MESSENGER: MDIS]

    ID: 859

    Type: Mosaic Sensor: MDIS Collected by: JHUAPL

  • Global DTM [MESSENGER: MDIS]

    ID: 860

    Type: Model Sensor: MDIS

  • HgM005 (HgM005 Gravity Map) [MESSENGER]

    ID: 861

    Type: Model Collected by: NASA/APL/Carnegie Institution of Washington

  • Band Combination 5, 4, 3 [Landsat-8: OLI]

    ID: 862

    Sensor: OLI

  • IMERG

    ID: 863

    Type: Data Compilation Collected by: NASA/GSFC

  • [SOFIA: Field Imaging Far Infrared Line Spectrometer (FIFI-LS)]

    ID: 864

    Type: Observed Data Sensor: Field Imaging Far Infrared Line Spectrometer (FIFI-LS)

  • McMurdo Panorama [Spirit: Panoramic Camera (Pancam)]

    ID: 865

    Type: Observed Data Sensor: Panoramic Camera (Pancam)

  • AXIOM-1 (AXIOM-1 Coupled Reanalysis)

    ID: 866

    Type: Model

  • Great Lakes Daily Ice Concentration

    ID: 867

    Type: Data Compilation Collected by: US National Ice Center/Naval Ice Center

  • Average Maximum Arctic Sea Ice Concentration Above 15% [DMSP: SSM/I]

    ID: 871

    Sensor: SSM/I

  • GLC (Global Landslide Catalogue)

    ID: 872

    Type: Database Collected by: GCMD

  • POC (Particulate Organic Carbon) [NPP: VIIRS]

    ID: 873

    Sensor: VIIRS

  • WFC3 [Hubble Space Telescope: Wide Field Camera 3]

    ID: 874

    Type: Observed Data Sensor: Wide Field Camera 3

  • [Chandra: Advanced CCD Imaging Spectrometer (ACIS)]

    ID: 875

    Sensor: Advanced CCD Imaging Spectrometer (ACIS)

  • water vapor [Aqua: MODIS]

    ID: 876

    Sensor: MODIS

  • Cloud Water Content [Aqua: MODIS]

    ID: 877

    Sensor: MODIS

  • Panchromatic Hubble Andromeda Treasury [Hubble Space Telescope: WFC3 and ACS]

    ID: 878

    Type: Observed Data Sensor: WFC3 and ACS

  • HURDAT2

    ID: 879

    Collected by: NOAA / NHC

  • Freeze/Thaw State (Radar) Daily Composite (L3_FT_A) [SMAP: Radar]

    ID: 880

    Sensor: Radar

    L3_FT_A, the only SMAP freeze/thaw product, consists of a daily composite of landscape freeze/thaw state for the boreal land region north of 45N latitude output on a polar EASE2 grid at 3 km. It is derived from high resolution radar data (L1C_S0_HiRes half-orbits) using both the AM (descending) and PM (ascending) overpasses.

    This dataset can be found at: http://smap.jpl.nasa.gov/data/

    Used on 1 page.

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  • PolSAR [Airplane: UAVSAR]

    ID: 881

    Sensor: UAVSAR

  • HPF Radial Field (High-pass Filtered Radial Magnetic Field) [MESSENGER: Magnetometer]

    ID: 883

    Type: Observed Data Sensor: Magnetometer

  • FLASHFlux (Fast Longwave And SHortwave Radiative Fluxes) [CERES]

    ID: 884

    Sensor: CERES

  • [Deep Space Climate Observatory (DSCOVR): Earth Polychromatic Imaging Camera (EPIC)]

    ID: 885

    Sensor: Earth Polychromatic Imaging Camera (EPIC)

  • [New Horizons: Alice]

    ID: 886

    Sensor: Alice

  • [New Horizons: Ralph]

    ID: 887

    Sensor: Ralph

  • [New Horizons: Long Range Reconnaissance Imager (LORRI)]

    ID: 888

    Sensor: Long Range Reconnaissance Imager (LORRI)

  • TWS Anomaly (Terrestrial Water Storage Anomaly) [Gravity Recovery and Climate Experiment (GRACE)]

    ID: 889

    Type: Analysis

  • Sungrazer Collection (Knight-Pierce Sungrazer Collection)

    ID: 890

    Type: Data Compilation Collected by: Lowell Observatory

  • SSHA (Sea Surface Height Anomaly) [OSTM/Jason-2: Poseidon-3]

    ID: 891

    Sensor: Poseidon-3 Collected by: NASA, NOAA, CNES, EUMETSAT

  • GSMchl (GSM Chlorophyll Concentration) [SeaWiFS, Meris, and MODIS-Aqua]

    ID: 892

    Type: Data Compilation

  • Ocean Drifters (Global Drifter Database) [Ocean Surface Buoys: Various]

    ID: 893

    Type: Data Compilation Sensor: Various Collected by: NOAA/AOML

  • Ion Flux [MAVEN: STATIC]

    ID: 895

    Type: Observed Data Sensor: STATIC Collected by: LASP: University of Colorado Boulder

  • Mars Monte Carlo Pickup Ion Transport (MCPIT) Model

    ID: 896

    Type: Model Collected by: LASP

  • MVIC [New Horizons, Ralph: Multispectral Visible Imaging Camera (MVIC)]

    ID: 897

    Sensor: Multispectral Visible Imaging Camera (MVIC)

  • HiRISE [Mars Reconnaissance Orbiter (MRO): High Resolution Imaging Science Experiment (HiRISE)]

    ID: 898

    Sensor: High Resolution Imaging Science Experiment (HiRISE)

  • Average Solar Wind Flow [MAVEN]

    ID: 899

    Type: Observed Data

  • [Cassini Orbiter: Imaging Science Subsystem]

    ID: 900

    Sensor: Imaging Science Subsystem

  • Global Flood Monitoring System (GFMS)

    ID: 901

    Type: Model Collected by: UMD

  • OCO-2 (Carbon Dioxide) [Orbiting Carbon Observatory-2: OCO-2]

    ID: 902

    Type: Observed Data Sensor: OCO-2 Collected by: NASA

  • [MetOp-B: AVHRR]

    ID: 903

    Sensor: AVHRR

  • MSG-3 [Meteosat-10: SEVIRI]

    ID: 904

    Sensor: SEVIRI

  • Himawari-7 [MTSAT-2: Imager]

    ID: 905

    Sensor: Imager

  • GOES-East [GOES-13/N: Imager]

    ID: 906

    Sensor: Imager

  • GOES-West [GOES-15/P: Imager]

    ID: 907

    Sensor: Imager

  • Percent Monthly Burned Area [MODIS: Terra/Aqua]

    ID: 908

    Type: Analysis Sensor: Terra/Aqua

  • OISSTv2 (NOAA Optimum Interpolation Sea Surface Temperature)

    ID: 909

    Collected by: NOAA

  • NALMA (North Alabama Lightning Mapping Array)

    ID: 911

    Type: Observed Data Collected by: NASA, New Mexico Institute of Mining and Technology, and Georgia Institute of Technology

  • Convection Product (Combination of Precipitation Observations) [TRMM and Multiple Geostationary Satellites]

    ID: 912

    Type: Data Compilation Collected by: NASA/AMES/JPL

  • Measured Ozone (CONvective TRansport of Active Species in the Tropics: flight 13) [Aircraft: Fast 03]

    ID: 913

    Type: Observed Data Sensor: Fast 03 Collected by: NSF/NCAR

  • Back Trajectories (Calculated with the NOAA HYSPLIT Model)

    ID: 914

    Type: Model Collected by: University of Maryland

  • NOAA Coral Reef Watch (Daily 5-km Satellite Coral Bleaching Thermal Stress Monitoring SST Anomaly)

    ID: 915

    Type: Observed Data

  • GMM-3 (Goddard Mars Model 3)

    ID: 916

    Type: Model Collected by: NASA GSFC

  • [Himawari-8: Advanced Himawari Imager (AHI)]

    ID: 917

    Sensor: Advanced Himawari Imager (AHI)

  • Monthly Sea Ice Index

    ID: 918

    Type: Data Compilation Collected by: NSIDC

  • [Jason-3]

    ID: 919

  • MMS-FIELDS [MMS: FIELDS]

    ID: 920

    Type: Observed Data Sensor: FIELDS

  • MMS-FPI [MMS: Fast Plasma Investigation]

    ID: 921

    Type: Event List Sensor: Fast Plasma Investigation

  • OMG Bathymetry MBES Level 2 Gridded Data [Cape Race (Ship): Multibeam Echo Sounder System (MBES)]

    ID: 922

    Type: Observed Data Sensor: Multibeam Echo Sounder System (MBES) Collected by: NASA JPL Oceans Melting Greenland

  • DT-MSLA-H (Maps of Sea Level Anomalies: Height - Delayed Time (Aviso+/CMEMS))

    ID: 923

    Type: Data Compilation

  • NRT-MSLA-H (Maps of Sea Level Anomalies: Height - Near-Real Time (Aviso+/CMEMS))

    ID: 924

    Type: Data Compilation

  • LROC WAC Global Morphological Map (Global Morphological Map) [Lunar Reconnaissance Orbiter: Wide-Angle Camera]

    ID: 926

    Type: Mosaic Sensor: Wide-Angle Camera

  • LROC WAC [LRO: Wide Angle Camera]

    ID: 927

    Type: Observed Data Sensor: Wide Angle Camera

  • Dawn Ceres Color Map (Ceres High Sun Global Color Mosaic) [Dawn: Framing Camera]

    ID: 928

    Type: Mosaic Sensor: Framing Camera

    A global color mosaic of the surface of dwarf planet Ceres assembled from Dawn Framing Camera images.

    Credit: German Aerospace Center (DLR)

    Used on 1 page.

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  • Dawn Ceres DEM (Ceres Global Digital Elevation Map) [Dawn: Framing Camera]

    ID: 929

    Type: Mosaic Sensor: Framing Camera

    Ceres global elevation data (DEM) developed from stereo photogrammetry using Dawn Framing Camera images.

    Credit: German Aerospace Center (DLR)

    Used on 1 page.

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  • Ceres PSRs (North) (Ceres Permanently Shadowed Regions (North)) [Dawn]

    ID: 930

    Type: Model

    A map of the permanently shadowed regions near the north pole of dward planet Ceres, derived from the Dawn Ceres DEM.

    Credit: Norbert Schorghofer (Institute for Astronomy, Univ. of HI), Erwan Mazarico (NASA GSFC), et al.

    Used on 1 page.

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  • CATS (Lidar) [ISS: Cloud-Aerosol Transport System]

    ID: 931

    Type: Observed Data Sensor: Cloud-Aerosol Transport System

    NASA's Cloud-Aerosol Transport System, or CATS, is a lidar remote-sensing instrument taking measurements of atmospheric aerosols and clouds from the International Space Station (ISS). Launched to the ISS in January 2015, CATS is specifically intended to demonstrate a low-cost, streamlined approach to developing ISS science payloads. The CATS mission extends

    Used on 2 pages.

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  • CPL (Lidar) [ER-2: Cloud Physics Lidar]

    ID: 932

    Sensor: Cloud Physics Lidar

  • NAFD (North American Forest Dynamics) [Landsat]

    ID: 933

    Type: Analysis Collected by: NASA

    The North American Forest Dynamics (NAFD) study provides annual maps of forest disturbance in the conterminous United States, from 1986-2010. Using data from the NASA/USGS Landsat satellite program, the NAFD study produces maps at a spatial resolution of 30-meters. Spanning the 25 years of the study required 26,142 Landsat images and the use of the NASA Earth

    Used on 1 page.

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  • Landsat NDVI Trend (1984–2012) [Landsat]

    ID: 934

    This research used a nominal peak greenness period, July 1 to August 31, to accommodate tundra of all regions for Landsat data selection. We only considered the terrain-corrected scenes, excluding scenes that have cloud cover more than 80%. As a result, a total of 87,762 Landsat scenes over 1271 Path/Row locations were selected from 1984-2012. Of these, 63% were from Landsat-5, as Landsat-5 provided the only data source for 1984-1998 and continued to acquire data until 2011. This work aims to provide a spatially complete view of the vegetation greenness change for all of Canada and Alaska by calculating per-pixel NDVI trend from all available 1984-2012 peak-summer Landsat-5 and -7 surface reflectance data.

    Used on 2 pages.

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  • chlor_a (Chlorophyll Concentration OCl) [Aqua: MODIS]

    ID: 935

    Sensor: MODIS

    Credit: Ocean Biology Processing Group (OBPG)

    This dataset can be found at: http://oceancolor.gsfc.nasa.gov/cms/atbd/chlor_a

    Used on 6 pages.

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  • chlor_a (chlorophyll concentration) [Terra: MODIS]

    ID: 936

    Sensor: MODIS

  • NDVI [Landsat: MSS]

    ID: 937

    Sensor: MSS

  • NDVI [Landsat: ETM]

    ID: 938

    Sensor: ETM

  • HYDRO1K

    ID: 939

    Type: Database Collected by: USGS

    HYDRO1k is a geographic database providing consistent global coverage of topographically derived data sets, including streams, drainage basins, and ancillary layers derived from GTOPO30.

    Credit: U.S. Geological Survey EROS Center

    Used on 2 pages.

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  • Weekly Sea Ice Age

    ID: 940

    Type: Data Compilation Collected by: Weekly Sea Ice Age

    SSMI-SSMIS passive microwave data, augmented with buoys, AVHRR, AMSR-E, and winds

    Used on 5 pages.

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  • IGRF-2012 (International Geomagnetic Reference Field)

    ID: 941

    Type: Model

  • HWM 2014 (Horizontal Wind Model)

    ID: 942

    Type: Model

  • IRI 2016 (International Reference Ionosphere)

    ID: 944

    Type: Model

  • [OSIRIS-REx]

    ID: 945

    Type: Ephemeris

  • G5NR-Chem (Chemistry) [GEOS-5: Nature Run]

    ID: 946

    Type: Model Sensor: Nature Run Collected by: NASA GMAO

  • Aquarius Soil Moisture (Soil Moisture) [Aquarius: Microwave Radiometer]

    ID: 947

    Type: Observed Data Sensor: Microwave Radiometer

  • SLDEM2015 (DIgital Elevation Model) [LRO/SELENE: LOLA/TC]

    ID: 948

    Type: Model Sensor: LOLA/TC

    A digital elevation model of the Moon derived from the Lunar Orbiter Laser Altimeter and the SELENE Terrain Camera. See the description in Icarus. The data is here.

    Used on 29 pages.

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  • KML Icesat2 Satellite Paths

    ID: 949

    Collected by: NASA/GSFC

    Test satellite paths over Antarctica in KML form.

    Used on 1 page.

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  • GMAO SST Anomaly

    ID: 950

    Type: Model Collected by: NASA GMAO

  • SEAT [Snowmobile: Radar]

    ID: 951

    Sensor: Radar

  • Megacities Project PBL (Megacities Project Planetary Boundary Layer Height Data)

    ID: 952

    Type: Data Compilation Collected by: NASA/Caltech JPL

    Calibrated instrument data and retrieved mixing layer heights from the MiniMicroPulse Lidar (MiniMPL) and Ceilometer at Caltech.

    This dataset can be found at: https://megacities.jpl.nasa.gov/portal/

    Used on 1 page.

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  • ASAR Reflectivity (Reflectivity) [Envisats: Advanced Synthetic Aperture Radar (ASAR)]

    ID: 953

    Sensor: Advanced Synthetic Aperture Radar (ASAR) Collected by: ESA

  • NASA-USDA-FAS Soil Moisture (Surface Soil Moisture corrected with SMOS imagery and assimilated by the Ensemble Kalman Filter)

    ID: 954

    Type: Data Compilation Collected by: NASA and USDA

    The surface soil moisture product is corrected by integrating satellite-derived Soil Moisture Ocean Salinity (SMOS) mission surface soil moisture retrievals into the modified Palmer two-layer soil moisture model. The SMOS imagery helps to correct the modified Pal

    Used on 6 pages.

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  • Active Fires from MODIS and VIIRS

    ID: 955

    Type: Data Compilation Collected by: NASA and NOAA

    The active fires data is a combined data product using Terra and Aqua's MODIS data and NOAA's NPP VIIRS 375m data.

    Used on 1 page.

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  • Global DEM 665m [MESSENGER]

    ID: 958

    Using observations from Mercury Dual Imaging System (MDIS) narrow-angle camera (NAC) and multispectral wide-angle camera (WAC), we derived a global digital elevation model (DEM) of Mercury.

    Credit: NASA/U.S. Geological Survey/Arizona State University/Carnegie Institution of Washington/JHUAPL

    Used on 1 page.

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  • Winds [MERRA-2]

    ID: 959

    Type: Model

  • Temperature [Aqua: AIRS]

    ID: 960

    Type: Observed Data Sensor: AIRS

  • GLOBE

    ID: 961

    Type: Observed Data Collected by: GLOBE

    Environmental observations taken by citizen scientists.

    Used on 1 page.

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  • GEOS Carbon Dioxide

    ID: 962

    Type: Model Collected by: GMAO

  • Evaporative Stress Index (ESI)

    ID: 963

    Credit: USDA-ARS Hydrology and Remote Sensing Laboratory (M.C. Anderson) and the NOAA-NESDIS Center for Satellite Applications and Research (C.R. Hain and X. Zhan).

    This dataset can be found at: https://hrsl.ba.ars.usda.gov/drought/about.php

    Used on 1 page.

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  • GoLIVE (Global Land Ice Velocity) [Landsat-8]

    ID: 964

    Type: Analysis

    Credit: Mark Fahnstock (Univ. of Alaska), Twila Moon (Univ. of Bristol), Ted Scambos (Univ. of Colorado/NSIDC), Marin Klinger (Univ. of Colorado/NSIDC), Alex Gardner (JPL), Terry Haran (Univ. of Colorado/NSIDC)

    Used on 3 pages.

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  • LiDAR (LiDAR 3D point cloud) [Airplane: G-LiHT]

    ID: 965

    Type: Observed Data Sensor: G-LiHT Collected by: NASA/GSFC

  • Monthly CO2 (Monthly CO2 V6) [Aqua: AIRS]

    ID: 967

    Type: Observed Data Sensor: AIRS Collected by: AIRS

    Monthly CO2 from AIRS DAAC.

    Used on 1 page.

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  • North America Roads (Natural Earth: North America Roads)

    ID: 968

    Type: Database Collected by: Natural Earth

  • 2010 Census Gazetteer

    ID: 969

    Type: Database Collected by: United States Census Bureau

  • Y. Wada et al. Global Annual Groundwater Depletion, 1900-2100, 0.5 deg

    ID: 970

    Type: Model

  • Y. Wada et al. Global Monthly Irrigation, 1/12 deg, 1900-2005

    ID: 971

    Type: Model

  • DE 430

    ID: 972

    Type: Ephemeris Collected by: JPL NAIF

    JPL DE 430

    Credit: JPL NAIF

    Used on 11 pages.

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  • ArcticDEM 5-meter Digital Surface Model Release 4 (ArcticDEM 5-meter Digital Surface Model Release 4) [WorldView-1, WorldView-2, and WorldView-3, GeoEye-1]

    ID: 973

    Type: Data Compilation Collected by: National Geospatial-Intelligence Agency/National Science Foundation

  • Canadian Digital Elevation Data

    ID: 974

    Type: Data Compilation Collected by: Government of Canada; Natural Resources Canada; Earth Sciences Sector; Canada Centre for Mapping and Earth Observation

  • Hiawatha Glacier Gridded Bed Topography

    ID: 975

    Type: Data Compilation

    Credit: Hiawatha Glacier Gridded Bed Topography data is courtesy of Mathieu Morlighem (UCI).

    Used on 2 pages.

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  • Alfred Wegener Institute (AWI) Airborne Radar Survey of Hiawatha Glacier

    ID: 976

    Collected by: Alfred Wegener Institute (AWI)

    Airborne radar survey of the region around the Hiawatha glacier.

    Used on 2 pages.

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  • GMAO Ocean Currents (GMAO MERRA Volumetric Ocean Currents)

    ID: 977

    Type: Model Collected by: GMAO

    This dataset is a 3D volumetric dataset of global ocean currents.

    Credit: GMAO MERRA Ocean Currents

    Used on 1 page.

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  • [GOES-16: ABI]

    ID: 978

    Sensor: ABI

    Advanced Baseline Imager (ABI) has 16 spectral bands, including two visible channels, four near-infrared channels and ten infrared channels. It is nearly identical to the imagers on Himawari 8 and Himawari 9.

    Used on 12 pages.

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  • health-post level dataset

    ID: 979

    Type: Observed Data Collected by: Duke University

    The malaria data set is not public.

    Credit: William Pan

    Used on 1 page.

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  • GEOS-5 Forward Processing 10-Day Forecast

    ID: 980

    Type: Data Compilation Collected by: GMAO

  • L1B Elevation and Return Strength, Version 2 (2013 data) [IceBridge: ATM]

    ID: 981

    Type: Observed Data Sensor: ATM

  • L1B Qfit Elevation and Return Strength, Version 1 (1998 data) [Pre-IceBridge: ATM]

    ID: 982

    Type: Observed Data Sensor: ATM

  • STK Ephemeris [ICESat-2]

    ID: 984

    Type: Ephemeris

  • DE 431

    ID: 985

    Type: Ephemeris Collected by: JPL

    Planetary ephemerides SPICE kernel

    Used on 14 pages.

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  • SMAP_FW (Fractional Water) [SMAP: Radiometer]

    ID: 986

    Sensor: Radiometer Collected by: NASA/University of Montana

    Global fractional open water cover dynamics derived from SMAP, Version T

    Credit: University of Montana

    Used on 2 pages.

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  • Chlorophyll (Chlorophyll Concentration) [Suomi NPP: VIIRS]

    ID: 987

    Type: Observed Data Sensor: VIIRS

  • Normalized Difference Vegetation Index (NDVI) [Suomi NPP: VIIRS]

    ID: 988

    Type: Analysis Sensor: VIIRS

  • WorldView-2 © 2015 DigitalGlobe

    ID: 991

    Type: Observed Data Collected by: DigitalGlobe

  • WorldView-3 © 2015 DigitalGlobe

    ID: 992

    Type: Observed Data Collected by: DigitalGlobe

  • WorldView-2 © 2016 DigitalGlobe

    ID: 993

    Type: Observed Data Collected by: DigitalGlobe

  • WorldView-3 © 2016 DigitalGlobe

    ID: 994

    Type: Observed Data Collected by: DigitalGlobe

  • WorldView-2 © 2017 DigitalGlobe

    ID: 995

    Type: Observed Data Collected by: DigitalGlobe

  • WorldView-2 © 2010 DigitalGlobe

    ID: 996

    Type: Observed Data Collected by: DigitalGlobe

  • Pléiades-1A © 2015 CNES, Distribution Airbus DS

    ID: 997

    Type: Observed Data Collected by: Distribution Airbus DS

  • Smoothed Particle Hydrodynamics Model Method

    ID: 998

    Type: Model Collected by: NASA/JPL

    Model used to simulate melting snowflakes.

    Credit: NASA/JPL

    Used on 2 pages.

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  • GFWED

    ID: 999

    Type: Database

    Global Fire Weather Database (GFWED)

    Credit: Dr. Robert Field

    Used on 1 page.

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  • Mean Cloud Ice [Ice Cube: 874 GHz submillimeter wave radiometer]

    ID: 1000

    Type: Observed Data Sensor: 874 GHz submillimeter wave radiometer

    Ice Cube is a CubeSat mission

    Credit: Dong Wu

    Used on 1 page.

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  • Global Landslide Model (Global Landslide Hazard Assessment for Situational Awareness (LHASA))

    ID: 1001

    Type: Model Collected by: GPM

    https://pmm.nasa.gov/applications/global-landslide-modelThe global Landslide Hazard Assessment for Situational Awareness (LHASA) model is developed to provide situational awareness of landslide hazards for a wide range of users. Precipitation is

    Used on 4 pages.

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  • [Chandra: Telescope System]

    ID: 1002

    Sensor: Telescope System

  • [National Optical Astronomy Observatory (NOAO)]

    ID: 1003

  • [X-ray Multi-Mirror Mission (XMM-Newton)]

    ID: 1004

  • [European Southern Observatory (ESO)]

    ID: 1005

  • Worldview-2 © 2018 DigitalGlobe

    ID: 1006

    Type: Observed Data Collected by: DigitalGlobe

  • Sentinel-2 [Sentinel-2B: MSI]

    ID: 1007

    Type: Observed Data Sensor: MSI Collected by: ESA

  • H-Alpha [NSO GONG Network: H-alpha Telescope]

    ID: 1008

    Type: Observed Data Sensor: H-alpha Telescope Collected by: AURA

    Solar observation network located at various observatories around the world.

    Credit: This work utilizes GONG data from NSO, which is operated by AURA under a cooperative agreement with NSF and with additional financial support from NOAA, NASA, and USAF. The data was converted into images and movies at NASA's Scientific Visualization Studio.

    Used on 2 pages.

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  • Ice Cores (Antarctic Regional Snow Accumulation Composites over the Past 1000 Years)

    ID: 1009

    Type: Observed Data Collected by: British Antarctic Survey

  • Infrared [Cassini: VIMS]

    ID: 1010

    Type: Data Compilation Sensor: VIMS Collected by: NASA/JPL

    The Visible and Infrared Mapping Spectrometer (VIMS) collected both light that is visible to humans and infrared light of slightly longer wavelengths. It separated the light into its various wavelengths so scientists could learn about the composition of materials from which the light is reflected or emitted.

    This dataset can be found at: https://saturn.jpl.nasa.gov/visible-and-infrared-mapping-spectrometer/

    Used on 1 page.

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  • ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station) [ISS: PHyTIR]

    ID: 1011

    Type: Observed Data Sensor: PHyTIR Collected by: NASA/JPL

    The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) has been implemented by placing the existing space-ready Prototype HyspIRI Thermal Infrared Radiometer (PHyTIR) on the International Space Station (ISS).

    This dataset can be found at: https://ecostress.jpl.nasa.gov/instrument

    Used on 1 page.

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  • Greenland Geothermal Heat Flux

    ID: 1012

    Type: Model

    Credit: Martos et al. 2018

    Used on 1 page.

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  • Brambilla Pulsar Model

    ID: 1013

    Type: Model

  • WISE [Wide-field Infrared Survey Explorer]

    ID: 1014

    Type: Observed Data

  • LROC WAC Color Mosaic (Natural Color Hapke Normalized WAC Mosaic) [Lunar Reconnaissance Orbiter: LRO Camera]

    ID: 1015

    Type: Mosaic Sensor: LRO Camera Collected by: Arizona State University

    This natural-color global mosaic is based on the 'Hapke normalized' mosaic from LRO's wide-angle camera. The data has been gamma corrected, white balanced, and range adjusted to more closely match human vision.

    Used on 49 pages.

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  • Tb (Brigtness Temperature Variance) [Aqua: AIRS]

    ID: 1016

    Type: Observed Data Sensor: AIRS Collected by: NASA

  • BedMachine V3: Bed Topography and Ocean Bathymetry of Greenland (BedMachine V3: Bed Topography and Ocean Bathymetry of Greenland)

    ID: 1017

    Type: Data Compilation

    A new compilation of Greenland bed topography that assimilates seafloor bathymetry and ice thickness data through a mass conservation approach.

    Used on 2 pages.

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  • MEaSUREs Greenland Ice Sheet Velocity Map from InSAR Data (MEaSUREs Greenland Ice Sheet Velocity Map from InSAR Data)

    ID: 1018

    Type: Data Compilation

    This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains seasonal (winter) ice-sheet-wide velocity maps for Greenland. The maps are derived from Interferometric Synthetic Aperture Radar (InSAR) data.

    Used on 1 page.

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  • Landsat 8 Mosaic of Jakobshavn Region [Landsat 8: Operational Land Imager]

    ID: 1019

    Type: Data Compilation Sensor: Operational Land Imager Collected by: Landsat 8 Mosaic of Jakobshavn Region

    Mosaic of the following Landsat 8 scenes: LC08_L1TP_008011_20170906, LC08_L1TP_008012_20170906, LC08_L1TP_010011_20170904, LC08_L1TP_010012_20170803, and LC08_L1TP_012011_20170902.

    Used on 1 page.

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  • UAVSAR Topography of Jakobshavn Glacier (UAVSAR Topography of Jakobshavn Glacier) [airborne: Glacier and Ice Surface Topography Interferometer's (GLISTIN-A)]

    ID: 1020

    Type: Observed Data Sensor: Glacier and Ice Surface Topography Interferometer's (GLISTIN-A) Collected by: JPL

    The upgraded airborne Glacier and Ice Surface Topography Interferometer (GLISTIN) provides all-weather, high-resolution swath ice surface topography.

    Used on 1 page.

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  • Disko Bay Water Temperature Profile (Disko Bay Water Temperature Profile)

    ID: 1021

    Type: Observed Data Collected by: JPL

    The water temperature in the Disko Bay from the surface down to 690 meters.

    Used on 1 page.

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  • ECCO Ocean Velocity in the North Atlantic (ECCO Ocean Velocity in the North Atlantic)

    ID: 1022

    Type: Model Collected by: JPL

  • Lidar (ILAKS1B) [Aircraft: UAF Scanner]

    ID: 1023

    Type: Observed Data Sensor: UAF Scanner Collected by: University of Alaska Fairbanks (UAF)

    University of Alaska Fairbanks (UAF) Lidar data collected by aircraft.

    Credit: Larsen, C. 2010, updated 2018. IceBridge UAF Lidar Scanner L1B Geolocated Surface Elevation Triplets, Version 1. ILAKS1B. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center.

    Used on 1 page.

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  • DEM (Digital Elevation Map) [Data Compilation: ArcticDEM (Release 7)]

    ID: 1024

    Type: Data Compilation Sensor: ArcticDEM (Release 7) Collected by: University of Minnesota

    ArcticDEM is an NGA-NSF public-private initiative to automatically produce a high-resolution, high quality, digital surface model (DSM) of the Arctic using optical stereo imagery, high-performance computing, and open source photogrammetry software.

    Credit: University of Minnesota Polar Geospatial Center (PGC)

    Used on 1 page.

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  • SWE (snow water equivalent (SWE)) [Airborne Snow Observatory (ASO): Imaging spectrometer, LIDAR]

    ID: 1025

    Type: Observed Data Sensor: Imaging spectrometer, LIDAR Collected by: NASA/JPL, California Department of Water Resources

    NASA/JPL has created the Airborne Snow Observatory (ASO), a coupled imaging spectrometer and scanning lidar system. ASO uses the imaging spectrometer to quantify spectral albedo, broadband albedo, and radiative forcing by dust and black carbon in snow. The scannin

    Used on 1 page.

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  • CPC UNI (CPC UNI (Climate Prediction Center (CPC) Global Unified) Precipitation) [N/A: Gauge-based]

    ID: 1026

    Sensor: Gauge-based Collected by: NOAA

    Climate Prediction Center (CPC) Global Unified Precipitation

    Used on 3 pages.

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  • Sea Surface Temperature Anomaly (SST) (Oceanic Nino Index (3 month running means of Extended Reconstructed Sea Surface Temperature (ERSST) v5 anomalies) [Multiple: Multisensors including buoys, passive microwave sensors]

    ID: 1027

    Sensor: Multisensors including buoys, passive microwave sensors Collected by: NOAA

    Oceanic Nino Index (3 month running means of Extended Reconstructed Sea Surface Temperature (ERSST) v5 anomalies

    Used on 4 pages.

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  • Land Surface Tempearature Anomaly (MOD11C3 V006: MODIS/Terra Land Surface Temperature and Emissivity Monthly L3 Global 0.05Deg CMG V006) [Terra: Moderate Resolution Imaging Spectroradiometer (MODIS)]

    ID: 1028

    Sensor: Moderate Resolution Imaging Spectroradiometer (MODIS) Collected by: NASA

    Land Surface Temperature Anomaly MOD11C3 V006: MODIS/Terra Land Surface Temperature and Emissivity Monthly L3 Global 0.05Deg CMG V006

    Used on 3 pages.

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  • Disease Reports

    ID: 1029

    Disease reports were obtained from ProMED Mail (Program for Monitoring Emerging Diseases), an online informal disease outbreak reporting systems. Disease incidents and/or outbreaks are reported by contributors/subscribers worldwide and subsequently screened, reviewed and validated by expert moderators. ProMED also includes reports from media, government and health agencies internationally.

    This dataset can be found at: https://promedmail.org/aboutus/

    Used on 2 pages.

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  • [STEREO-A: High Energy Telescope (HET)]

    ID: 1030

    Type: Observed Data Sensor: High Energy Telescope (HET)

  • [Mars EXpress (MEX): ASPERA]

    ID: 1031

    Type: Observed Data Sensor: ASPERA

  • [GOES: Energetic Particle Sensor (EPS)]

    ID: 1032

    Type: Observed Data Sensor: Energetic Particle Sensor (EPS) Collected by: NOAA

  • ITS_LIVE (Inter-mission Time Series of land Ice Velocity and Elevation)

    ID: 1033

    Type: Data Compilation Collected by: NASA/JPL

  • Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS) [Hubble Space Telescope: WFC3 and ACS]

    ID: 1034

    Type: Observed Data Sensor: WFC3 and ACS

    CANDELS, the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey, is the largest project in the history of the Hubble Space Telescope, with 902 assigned orbits (about two months) of observing time. It was carried out between 2010 and 2013 with two cameras on board Hubble – WFC3 and AC

    Used on 2 pages.

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  • Holmstrom Plasma Solver

    ID: 1035

    Type: Model

  • Filters F475W and F814W [Hubble Space Telescope: WFC and ACS]

    ID: 1036

    Type: Observed Data Sensor: WFC and ACS

  • REMA (Reference Elevation Model of Antarctica - 8m)

    ID: 1037

    Type: Data Compilation Collected by: The Polar Geospatial Center (PGC)

    High resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 8-meter spatial resolution

    Credit: DEMs provided by the Byrd Polar and Climate Research Center and the Polar Geospatial. Computer time provided through a Blue Waters Innovation Initiative. DEMs produced using data from DigitalGlobe, Inc.

    Used on 1 page.

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  • NIR/SWIR/TIR (Band Combination 5, 6, 11) [Landsat 8]

    ID: 1038

  • LandsatLook Natural Color (6,5,4) [Landsat 8: OLI]

    ID: 1039

    Sensor: OLI

    The LandsatLook Natural Color image is a .jpg composite of three bands to show a “natural” looking (false color) image.

    Used on 1 page.

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  • GRIP4 (Global Roads Inventory Project)

    ID: 1040

    Type: Database

    Roads database covering 222 countries

    Credit: The GRIP4 roads database is provided under an Open Data Commons Open Database License. Meijer, J.R., Huijbegts, M.A.J., Schotten, C.G.J. and Schipper, A.M. (2018): Global patterns of current and future road infrastructure. Environmental Research Letters, 13-064006.

    Used on 1 page.

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  • Natural Earth: Cultural Vectors

    ID: 1041

    Collected by: Natural Earth

    Boundaries, populated places

    Used on 1 page.

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  • Filters F435W, F606W, F814W; WFC3/IR: F105W, F125W, F140W, and F160W [Hubble Space Telescope: WFC and ACS]

    ID: 1042

    Type: Observed Data Sensor: WFC and ACS

  • [Juno: JunoCam]

    ID: 1043

    Sensor: JunoCam

    Junocam is a wide-angle camera designed to capture the unique polar perspective of Jupiter offered by Juno’s polar orbit. Junocam was included primarily for education and public outreach (EPO), funded from the mission’s EPO budget and given a fairly constrained allocation of spacecraft mass resources.

    This dataset can be found at: https://www.missionjuno.swri.edu/junocam

    Used on 1 page.

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  • 4000 Angstroms [Swedish Solar Telescope: CHROMIS]

    ID: 1044

    Type: Observed Data Sensor: CHROMIS Collected by: Swedish Research Council

  • AEGIS (All-Wavelength Extended Groth Strip International Survey)

    ID: 1045

    Type: Observed Data

    Four orbiting telescopes, including Hubble, and four ground-based observatories sampled galaxies in a long, thin strip of sky to harvest clues about galaxy formation. Hubble's Advanced Camera for Surveys (ACS) snapped several hundred images of the survey field, which astronomers wove together into a rich tapestry that showcases about 50,000 galaxies. The Hubble views yielded new information about how the appearance and structure of galaxies change at different distances out in the universe.

    Used on 1 page.

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  • Filters F606W (V); F814W (I) [Hubble: ACS and WFPC2]

    ID: 1046

    Type: Observed Data Sensor: ACS and WFPC2

  • WFPC2 [Hubble Space Telescope: Wide Field Planetary Camera 2]

    ID: 1047

    Type: Observed Data Sensor: Wide Field Planetary Camera 2

  • Contribution of the Greenland Ice Sheet to sea-level over the next millennium using Large Ensemble Simulations

    ID: 1048

    Type: Analysis Collected by: Arctic Data Center

  • [SES 14: GOLD]

    ID: 1049

    Type: Observed Data Sensor: GOLD

    Global-scale Observations of the Limb and Disk (GOLD) is an ultraviolet imaging spectrograph to measure temperatures and densities in the Earth's thermosphere & ionosphere.

    Used on 4 pages.

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  • GFED4s (Global Fire Emissions Database, Version 4.1)

    ID: 1050

    Type: Data Compilation

    This fourth version of the Global Fire Emissions Database (GFED4s) provides monthly burned area, fire carbon (C) and dry matter (DM) emissions, and the contribution of different fire types to these emissions in order to calculate trace gas and aerosol emissions using emission factors.

    Used on 2 pages.

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  • Soil Moisture [SMAP: Radiometer]

    ID: 1051

    Type: Observed Data Sensor: Radiometer Collected by: JPL

    Level 3 enhanced daily composite soil moisture

    This dataset can be found at: https://smap.jpl.nasa.gov/data/

    Used on 1 page.

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  • Salinity (Sea Surface Salinity) [SMAP: Radiometer]

    ID: 1052

    Type: Observed Data Sensor: Radiometer

  • Fire Pixels [Suomi NPP: VIIRS]

    ID: 1053

    Type: Analysis Sensor: VIIRS Collected by: NASA/GSFC

  • LIDAR [OSIRIS-REx: OLA]

    ID: 1055

    Sensor: OLA

    The OSIRIS-REx Laser Altimeter (OLA) is a scanning LIDAR (Light Detection and Ranging). LIDAR is similar to RADAR, but it uses light instead of radio waves to measure distance. OLA emitted laser pulses at the surface of Bennu, which reflected back from the surface and returned a portion of the laser pulse to the LIDAR detector. By carefully measuring the time difference between the outgoing pulse and the incoming pulse, the distance from the spacecraft to the surface of Bennu was computed using the speed of light. This allowed OLA to provide high-resolution topographical information about Bennu during the mission.

    Used on 9 pages.

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  • Sea Ice Freeboard [ICESat-2: Advanced Topographic Laser Altimeter System (ATLAS)]

    ID: 1056

    Type: Observed Data Sensor: Advanced Topographic Laser Altimeter System (ATLAS)

  • EASE-Grid Sea Ice Age, Version 4 [Aqua, BUOYS, DMSP 5D-2/F11, DMSP 5D-2/F13, DMSP 5D-2/F8, DMSP 5D-3/F17, MODELS, NOAA-10, NOAA-11, NOAA-14, NOAA-16, NOAA-7, NOAA-9, Nimbus-7: AMSR-E, AVHRR, DRIFTING BUOYS, SMMR, SSM/I, SSMIS]

    ID: 1057

    Type: Observed Data Sensor: AMSR-E, AVHRR, DRIFTING BUOYS, SMMR, SSM/I, SSMIS Collected by: NASA National Snow and Ice Data Center

    This data set provides weekly estimates of sea ice age for the Arctic Ocean derived from remotely sensed sea ice motion and sea ice extent.

    Credit: EASE-Grid Sea Ice Age, Version 4:
    NSIDC/Mark Tschudi, Walter Meier, J Stewart, Charles Fowler, Jim Maslanik

    This dataset can be found at: https://nsidc.org/data/nsidc-0611/

    Used on 1 page.

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  • Quicklook Arctic Weekly EASE-Grid Sea Ice Age, Version 1 [BUOYS, DMSP 5D-3/F18: DRIFTING BUOYS, SSMIS]

    ID: 1058

    Type: Observed Data Sensor: DRIFTING BUOYS, SSMIS Collected by: NASA National Snow and Ice Data Center

    This data set is the quicklook version of the EASE-Grid Sea Ice Age product. It is derived from the Quicklook Arctic Weekly EASE-Grid Sea Ice Motion Vectors data set.

    Credit: Quicklook Arctic Weekly EASE-Grid Sea Ice Age, Version 1:
    NSIDC/Mark Tschudi, Walter Meier, J Stewart

    This dataset can be found at: https://nsidc.org/data/nsidc-0749/

    Used on 1 page.

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  • NGIMS (Average Neutral Upper Level Wind Vectors) [MAVEN: Neutral Gas and Ion Mass Spectrometer]

    ID: 1059

    Type: Observed Data Sensor: Neutral Gas and Ion Mass Spectrometer Collected by: NASA

    Average neutral winds as observed by MAVEN/NGIMS during 33 monthly campaigns spanning from April 2016 to December 2018.

    Credit: NGIMS: MAVEN Science Team

    Used on 1 page.

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  • EBAF TOA Fluxes, Clouds [Terra and Aqua: CERES]

    ID: 1060

    Type: Observed Data Sensor: CERES

    Observed net balanced top of atmosphere (TOA) fluxes

    This dataset can be found at: https://ceres.larc.nasa.gov/products-info.php?product=EBAF

    Used on 2 pages.

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  • CO Total Column [Terra: MOPITT]

    ID: 1062

    Type: Observed Data Sensor: MOPITT

    Level 3 monthly product MOP03JM

    Used on 1 page.

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  • Imagery [OSIRIS-REx: OCAMS]

    ID: 1063

    Type: Observed Data Sensor: OCAMS

    The OSIRIS-REx Camera Suite (OCAMS) consists of three cameras: PolyCam, MapCam, and SamCam. These cameras captured a wealth of imagery during OSIRIS-REx’s time at asteroid Bennu. To help mission planners select a site on Bennu for sample collection, OCAMS provided global image mapping of the asteroid’s surface and more detailed images of potential sample sites. OCAMS also recorded the sampling event during the touch-and-go (TAG) maneuver.

    Credit: NASA/University of Arizona/CSA/York University/MDA

    Used on 9 pages.

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  • Navigational Data [IceBridge]

    ID: 1064

    Type: Ephemeris

  • MEaSUREs BedMachine Antarctica

    ID: 1065

    Type: Data Compilation Collected by: NASA

    Part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a bed topography/bathymetry map of Antarctica based on mass conservation, streamline diffusion, and other methods. The data set also includes ice thickness, surface elevation, an ice/ocean/land mask, ice thickness estimation errors, and a map showing where each method was utilized.

    This dataset can be found at: https://nsidc.org/data/nsidc-0756

    Used on 1 page.

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  • GMAO GEOS Atmospheric Methane (GMAO GEOS Atmospheric Methane)

    ID: 1066

    Type: Model Collected by: GMAO

  • HEK (Heliophysics Event Knowledgebase)

    ID: 1067

    Type: Event List Collected by: LMSAL

    Heliophysics Event Knowledgebase

    Used on 1 page.

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  • Spacecraft Operations (Spacecraft Events) [Solar Dynamics Observatory]

    ID: 1068

    Type: Event List Collected by: JSOC

    SDO Events Calendar

    Used on 2 pages.

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  • NOAA OI.v2 SST (NOAA/Monthly Sea Surface Temperature (SST) OI.v2)

    ID: 1069

    Collected by: NOAA

  • NOAA Climate Prediction Center/Monthly Sea Surface Temperature (SST) ENSO Index (Niño 3.4)

    ID: 1070

    Collected by: NOAA

  • Rainfall/Precipitation Anomaly (NOAA Climate Prediction Center/Monthly African Rainfall Climatology (ARC))

    ID: 1072

    Type: Observed Data Collected by: NOAA

  • [Lansdat-8]

    ID: 1073

    Type: Observed Data Collected by: USGS

  • Green Vegetation Fraction (GVF) [JPSS: VIIRS]

    ID: 1074

    Type: Observed Data Sensor: VIIRS Collected by: NOAA

    Green Vegetation Fraction (GVF) is the fractional green vegetation cover within a specific grid cell.

    Credit: NOAA

    This dataset can be found at: https://www.star.nesdis.noaa.gov/jpss/gvf.php

    Used on 1 page.

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  • ProMED Disease Outbreak Data (Disease Outbreak Data from the Program for Monitoring Emerging Diseases (ProMED))

    ID: 1075

    Collected by: ProMED

  • Disease Outbreak Data from Pan-American Health Organization (PAHO)

    ID: 1076

    Collected by: Pan-American Health Organization (PAHO)

  • Disease Outbreak Data from the World Organisation for Animal Health/Organisation mondiale de la santé animale (OIE)

    ID: 1077

    Collected by: World Organisation for Animal Health/Organisation mondiale de la santé animale (OIE)

  • GRACE Follow-On (Terrestrial Water Storage Anomaly) [Gravity Recovery and Climate Experiment (GRACE) Follow-On]

    ID: 1078

    Type: Observed Data Collected by: NASA/German Research Center for Geosciences

  • NASA/Terra/MODIS/Global Monthly Normalized Difference Vegetation Index (NDVI)

    ID: 1079

  • Nitrogen Dioxide [Sentinel-5p: TROPOMI]

    ID: 1080

    Type: Observed Data Sensor: TROPOMI

    Nitrogen Dioxide (NO2) Level 2 Data Product

    This dataset can be found at: http://www.tropomi.eu/data-products/nitrogen-dioxide

    Used on 1 page.

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  • ETOPO1 Global Relief Model (NOAA National Centers for Environmental Information/ETOPO1 Global Relief Model/Grid Version: ETOPO1 Ice Surface)

    ID: 1081

    Type: Model Collected by: NOAA National Center for Environmental Information

    Credit: NOAA National Centers for Environmental Information

    Used on 2 pages.

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  • Magnetic Field Vectors [MAVEN: MAG]

    ID: 1082

    Type: Observed Data Sensor: MAG

  • Ion Fluxes [MAVEN: SWIA]

    ID: 1083

    Type: Observed Data Sensor: SWIA

  • Biomass Map (MapBiomas)

    ID: 1084

    Type: Analysis Collected by: MapBiomas Project

    MapBiomas Project is a multi-institutional initiative to generate annual land cover and use maps using automatic classification processes applied to satellite images.

    This dataset can be found at: http://mapbiomas.org

    Used on 9 pages.

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  • CM6 geomagnetic field model and GEMS assimilation system

    ID: 1085

    Type: Model Collected by: NASA/GSFC

    2015-2019: global geomagnetic field made by CM6 from satellite and observatory magnetic data; 2020-2025: geomagnetic forecasts made by GEMS (Geomagnetic Ensemble Modeling System)

    Used on 1 page.

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  • Band Combination 4-3-2 [Landsat-8: OLI/TIRS]

    ID: 1086

    Type: Observed Data Sensor: OLI/TIRS Collected by: USGS

  • High Mountain Asia 8-meter Digital Elevation Model (DEM)

    ID: 1087

    Collected by: NSIDC

    The DEM is generated from very-high-resolution imagery from DigitalGlobe satellites (GEOEYE-1, QUICKBIRD-2, WORLDVIEW-1, WORLDVIEW-2, WORLDVIEW-3) during the period of 28 January 2002 to 24 November 2016.

    Credit: Shean, D. 2017. High Mountain Asia 8-meter DEM Mosaics Derived from Optical Imagery, Version 1. [Subset Used: HMA_DEM8m_MOS_20170716_tile-677]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/KXOVQ9L172S2. [Date Accessed: 06/17/2020].

    Used on 1 page.

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  • OpenStreetMap

    ID: 1088

    City lon/lat names and locations

    Used on 2 pages.

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  • Natural Earth: 1:10m Cultural Vectors - Populated Places

    ID: 1089

    Type: Database Collected by: Natural Earth

  • Gaia DR2 (Data Release 2) [Gaia]

    ID: 1090

    Type: Database Collected by: ESA

    Catalog of 1.7 billion stars brighter than magnitude 21.

    Credit: Gaia team/ESA

    Used on 2 pages.

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  • Precipitation (Ka-band Radar) [CubeSat: RainCube]

    ID: 1091

    Type: Observed Data Sensor: RainCube Collected by: NASA/JPL

  • Stratospheric Aerosol [ISS: SAGE-III]

    ID: 1093

    Type: Observed Data Sensor: SAGE-III Collected by: NASA/LaRC

  • Rasterized Tree Crowns (generated via ML from DigitalGlobe mosaics)

    ID: 1095

    Type: Analysis Collected by: NASA

  • Tree Locations (generated via ML from DigitalGlobe mosaics)

    ID: 1096

    Type: Analysis Collected by: NASA

  • Tree Densities (generated via ML from DigitalGlobe mosaics)

    ID: 1097

    Type: Analysis Collected by: NASA

  • Mosaic of Amundsen Sea Embayment, Antarctica [Landsat 8: OLI]

    ID: 1098

    Type: Mosaic Sensor: OLI

    An image mosaic comprised of 20 LandSat 8 tiles on the Amundsen Sea Embayment, Antarctica

    Credit: Landsat 8 mission

    Used on 3 pages.

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  • BedMachine Antarctica V1

    ID: 1099

    Type: Data Compilation

    A self-consistent dataset of the Antarctic Ice Sheet based on the conservation of mass

    Credit: Morlighem, M., Rignot, E., Binder, T. et al. Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet. Nature Geoscience 13, 132–137 (2020)

    Used on 3 pages.

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  • ECCO-Darwin Global Ocean Biogeochemistry Model

    ID: 1100

    Type: Model Collected by: NASA

  • Barotropic Tides Simulation

    ID: 1101

    Type: Model Collected by: NASA/GSFC

    More information about this dataset can be found in the following paper:
    G. D. Egbert, R. D. Ray, B. G. Bills, Numerical modeling of the global semidiurnal tide in the present day and in the last glacial maximum, 10.1029/2003JC001973, (2004).

    This dataset can be found at: https://doi.org/10.1029/2003JC001973

    Used on 1 page.

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  • Arctic Animal Movement Archive (AAMA)

    ID: 1102

    Type: Observed Data Collected by: Movebank

    A collection of studies that contain animal movement and other animal-borne sensor data from the Arctic and Subarctic, owned by hundreds of participating experts and organizations.

    Credit: Authors of the animal movement data shown here include Tomas Aarvak, Jason Akearok, Christine Anderson, Rebecca Bentzen, Andrew Berdahl, Dominique Berteaux, Joël Bêty, Natalie Boelman, Dmitrijs Boiko, Stan Boutin, Sean Boyd, Kurt K. Burnham, David Cabot, Magda Chudzinska, Shanti Davis, Chris DeSorbo, David Douglas, Amanda Droghini, Goetz Eichhorn, Kyle Elliott, Craig Ely, Michael Exo, Steve Ferguson, Wolfgang Fiedler, Paul Flint, Steve Furguson, Stefan Garthe, Anthony Gaston, Grant Gilchrist, Petr Glazov, Larry Griffin, Autumn-Lynn Harrison, Scott Hatch, Mark Hebblewhite, Holly Hennin, Mark Hipfner, Jerry Hupp, Michael Janssen, Jim A. Johnson, Kyle Joly, Andrea Kölzsch, Thiemo Karwinkel, Roland Kays, Helmut Kruckenberg, Benjamin J. Lagassé, JF Lamarre, Richard Lanctot, Dave Latham, Christopher Latty, Jim Lawler, Don-Jean Léandri-Breton, Oliver Love, Christie Macdonald, Jesper Madsen, Mark Maftei, Mark Mallory, Pete Marra, Laura McFarlane Tranquilla, Carol McIntyre, Emily McKinnon, WA Montevecchi, Tong Mu, Eric Neilson, Pete Nye, Ruth Oliver, Allison Patterson, Wibke Peters, Aevar Petersen, Margaret Petersen, Ivan Pokrovsky, Rui Prieto, Petra Quillfeldt, Jennie Rausch, Audrey Robillard, Mike Russell, Dan Ruthrauff, Daniel Ruthrauff, Sarah Saalfeld, Joel Schmutz, Dale Seip, Mónica A. Silva, Steve Slater, Jeff Smith, Grigori Tertitski, JF Therrien, Kasper Thorup, Lee Tibbitts, Brian Uher-Koch, Rob van Bemmelen, David Ward, Martin Wikelski, and David Yurkowski.

    Used on 2 pages.

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  • [Sentinel-6 Michael Freilich]

    ID: 1105

  • Coastline - Northwest Hawaiian Islands (NWHI)

    ID: 1106

    Type: Data Compilation Collected by: HawaiiStateGIS

  • [Juno: Magnetometer]

    ID: 1107

    Sensor: Magnetometer

  • Internal Ocean Tides

    ID: 1108

    Type: Model

    Internal Tides data from NASA Goddard's Space Flight Center simulation run. The data are hourly over a period of a
    day (24 hours) with latitude bounds in the range [-66°, 66°]. POC: Richard Ray (NASA/GSFC)

    Credit: NASA Goddard Space Flight Center

    Used on 2 pages.

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  • Hurricane Tracks (Automated Tropical Cyclone Forecast (ATCF) - Best Track)

    ID: 1109

    Type: Event List Collected by: NOAA

  • REMA (Reference Elevation Model of Antarctica - 100m)

    ID: 1110

    Type: Data Compilation Collected by: The Polar Geospatial Center (PGC)

    High resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 100-meter spatial resolution

    Credit: DEMs provided by the Byrd Polar and Climate Research Center and the Polar Geospatial. Computer time provided through a Blue Waters Innovation Initiative. DEMs produced using data from DigitalGlobe, Inc.

    Used on 3 pages.

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  • Example GeoCarb Scanning Scenario

    ID: 1111

    Type: Analysis

    Example pre-launch scanning pattern for GeoCarb

    Used on 1 page.

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  • [ICESat-2: Advanced Topographic Laser Altimeter System (ATLAS)]

    ID: 1112

    Sensor: Advanced Topographic Laser Altimeter System (ATLAS)

  • Monthly Surface Mass Anomalies [GRACE and GRACE-FO]

    ID: 1113

    Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (FO) Monthly Surface Mass Anomalies

    Used on 2 pages.

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  • AMO Index (Atlantic Multidecadal Oscillation (AMO) Index)

    ID: 1114

    Type: Analysis Collected by: NOAA

  • ERSST v5 (Extended Reconstructed Sea Surface Temperature (ERSST) v5)

    ID: 1115

    Type: Analysis Collected by: NOAA National Centers for Environmental Information

  • Suomi NPP/VIIRS Corrected Reflectance (True Color)

    ID: 1116

    Type: Observed Data

    Credit: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Observing System Data and Information System (EOSDIS).

    This dataset can be found at: https://earthdata.nasa.gov/earth-observation-data/near-real-time/download-nrt-data/viirs-nrt

    Used on 1 page.

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  • NOAA-20/VIIRS Corrected Reflectance (True Color)

    ID: 1117

    Type: Observed Data

    Credit: We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Observing System Data and Information System (EOSDIS).

    This dataset can be found at: https://earthdata.nasa.gov/earth-observation-data/near-real-time/download-nrt-data/viirs-nrt

    Used on 1 page.

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  • MIROC-CHASER

    ID: 1118

    Type: Model

  • Tropospheric Chemistry Reanalysis version 2 (TCR-2)

    ID: 1119

    Type: Model

  • IVM (IVM) [ICON: Ion Velocity Meter]

    ID: 1120

    Type: Event List Sensor: Ion Velocity Meter Collected by: University of Texas, Dallas

  • MIGHTI (MIGHTI) [ICON: Michelson Interferometer for Global High-resolution Thermospheric Imaging]

    ID: 1121

    Type: Observed Data Sensor: Michelson Interferometer for Global High-resolution Thermospheric Imaging Collected by: Naval Research Laboratory (NRL)

  • Normalized Difference Vegetation Index (NDVI) (Normalized Difference Vegetation Index (NDVI)) [Terra: MODIS]

    ID: 1122

    Sensor: MODIS Collected by: NASA

  • New LIMA Product (New Landsat Image Mosaic of Antarctica (LIMA) Product)

    ID: 1126

    Type: Mosaic

    The Center-Filled LIMA product is a seamless and virtually cloudless mosaic created from processed Landsat 7 ETM+ scenes. In areas where Landsat had no coverage imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) Mosaic of Antarctica (MOA) was used. doi: https://doi.org/10.5066/P9TEIU3H

    Credit: Landsat Image Mosaic of Antarctica (LIMA) Project, NASA/GSFC, British Antarctic Survey, USGS

    This dataset can be found at: https://lima.usgs.gov/fullcontinent.php

    Used on 1 page.

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  • ATL06 (ATLAS/ICESat-2 L3A Land Ice Height V003)

    ID: 1127

    Type: Observed Data

    ATL06 provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.

    Credit: Archived by National Aeronautics and Space Administration, U.S. Government, NASA National Snow and Ice Data Center Distributed Active Archive Center.

    This dataset can be found at: https://doi.org/10.5067/ATLAS/ATL06.003

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  • ID: 1128

    Type: Outlines of Conway and Mercer Suglacial Lakes

  • MiRS Microwave Sounding Products (MiRS Microwave Sounding Products) [NOAA-20 and SUOMI-NPP: ATMS]

    ID: 1129

    Type: Observed Data Sensor: ATMS Collected by: NOAA

  • MiRS Imaging Products (MiRS Imaging Products) [NOAA-20 and SUOMI-NPP: ATMS]

    ID: 1130

    Type: Analysis Sensor: ATMS Collected by: NOAA

  • Relative Height [GEDI]

    ID: 1131

    RH100 or relative height is the 100th percentile of waveform energy relative to ground elevation. Derived from the L2B LIDAR metric RH100 data product.

    This dataset can be found at: https://gedi.umd.edu/

    Used on 2 pages.

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  • FIELDS [Parker Solar Probe: FIELDS]

    ID: 1132

    Sensor: FIELDS Collected by: University of California at Berkeley

    Measurements of electric and magnetic fields and waves.

    This dataset can be found at: https://fields.ssl.berkeley.edu/

    Used on 2 pages.

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  • Trends in Atmospheric Carbon Dioxide (Mauna Loa CO2 monthly mean data)

    ID: 1133

    Type: Observed Data Collected by: NOAA and Scripps

    Credit: Dr. Pieter Tans, NOAA/GML (gml.noaa.gov/ccgg/trends/) and Dr. Ralph Keeling, Scripps Institution of Oceanography (scrippsco2.ucsd.edu/).

    This dataset can be found at: https://gml.noaa.gov/ccgg/trends/data.html

    Used on 6 pages.

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  • MERRA-2 (MERRA-2)

    ID: 1134

    Type: Model Collected by: GMAO

  • GNATS Slocum Electric Glider missions (GNATS Slocum Electric Glider missions) [ship]

    ID: 1135

    Type: Observed Data Collected by: Bigelow Laboratory for Ocean Sciences

  • GNATS ship-derived XBT temperature profiles (GNATS ship-derived XBT temperature profiles) [ship]

    ID: 1136

    Type: Observed Data Collected by: Bigelow Laboratory for Ocean Sciences

  • ITRF2014

    ID: 1138

    Collected by: International Earth Rotation and Reference Systems Service (IERS)

  • 60-day geocenter estimate (Degree-1 coefficients) [LAGEOS-1, LAGEOS-2: SLR]

    ID: 1139

    Sensor: SLR

  • SeaFlow datasets v1.3 (doi10.5281/zenodo.3994953) [ship: SeaFlow]

    ID: 1140

    Type: Observed Data Sensor: SeaFlow Collected by: University of Washington

    SeaFlow is an underway flow cytometer that provides continuous shipboard observations of the abundance and optical properties of small phytoplankton (<5 μm in equivalent spherical diameter, ESD).

    Credit: Annette Hynes, Chris Berthiaume, Francois Ribalet, E Virginia Armbrust

    This dataset can be found at: https://seaflow.netlify.app/

    Used on 2 pages.

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  • Darwin

    ID: 1141

    Type: Model Collected by: Massachusetts Institute of Technology

    The Darwin Project is an initiative to advance the development and application of novel models of marine microbes and microbial communities, identifying the relationships of individuals and communities to their environment, connecting cellular-scale processes to global microbial community structure.

    Credit: Massachusetts Institute of Technology, Gordon and Betty Moore Foundation, Simons Foundation, NSF, NASA

    This dataset can be found at: https://darwinproject.mit.edu/

    Used on 2 pages.

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  • VPIC (Vector Particle-In-Cell Project)

    ID: 1142

    Type: Model Collected by: LANL

    Open-Source Vector Particle-In-Cell (VPIC) plasma code.

    This dataset can be found at: https://github.com/lanl/vpic

    Used on 1 page.

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  • SNDRAQIL3CMCCP (Sounder SIPS: AQUA AIRS IR-only Level 3 CLIMCAPS: Comprehensive Quality Control Gridded Monthly V2) [NASA AQUA: AIRS (Atmospheric Infrared Sounder)]

    ID: 1143

    Type: Observed Data Sensor: AIRS (Atmospheric Infrared Sounder) Collected by: AIRS, NASA

  • Planning TLEs

    ID: 1144

    Type: Ephemeris Collected by: NASA

    TLEs for mission to lauch around 2030

    Credit: Donald Dichmann

    Used on 3 pages.

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  • SVS Deep Star Maps 2020

    ID: 1145

    Type: Mosaic Collected by: SVS

    Ernie Wright's star maps

    Credit: Ernie Wright

    This dataset can be found at: https://svs.gsfc.nasa.gov/4851

    Used on 2 pages.

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  • Fire Events Data Suite (FEDS) GeoPackage (Fire Events Data Suite (FEDS) GeoPackage) [Suomi-NPP: VIIRS]

    ID: 1146

    Sensor: VIIRS Collected by: NASA

    The authors used the Suomi-NPP VIIRS I-band fire location data product (VNP14IMGML, Collection 1 Version 4), the U.S. National Land Cover Database (NLCD 2016) and gridMET product27 dead fuel moisture to develop an automatic system to dynamically track the growth of all fire events at a regional scale.

    Credit: Yang Chen, Stijn Hantson, Niels Andela, Shane R. Coffield, Casey A. Graff, Douglas C. Morton, Lesley E. Ott, Efi Foufoula-Georgiou, Padhraic Smyth,

    This dataset can be found at: https://figshare.com/s/0a68d4f2fbf5dc82930e

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  • MRLC NLCD (Multi-Resolution Land Characteristics (MRLC) consortium National Land Cover Database (NLCD))

    ID: 1147

    Type: Mosaic Collected by: United States Geoogical Survey (USGS)

    The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at a 30m resolution with a 16-class legend based on a modified Anderson Level II classification system.

    This dataset can be found at: https://www.mrlc.gov/

    Used on 1 page.

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  • Natural Earth (Natural Earth)

    ID: 1148

    Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software.

    This dataset can be found at: https://www.naturalearthdata.com/

    Used on 2 pages.

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  • Gray Earth (Gray Earth with Shaded Relief, Hypsography, and Flat Water)

    ID: 1149

    Collected by: Natrual Earth

  • International Space Station (ISS) Lightning Imaging Sensor (LIS) (Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Science Data V1) [Lightning Imaging Sensor (LIS)]

    ID: 1150

    Sensor: Lightning Imaging Sensor (LIS) Collected by: NASA Global Hydrometeorology Resource Center DAAC

    The Quality Controlled Lightning Imaging Sensor (LIS) on International Space Station (ISS) Science Data dataset was collected by the LIS instrument mounted on the ISS and are used to detect the distribution and variability of total lightning occurring in the Earth’s tropical and subtropical regions.

    This dataset can be found at: https://ghrcdrive.nsstc.nasa.gov/pub/lis/iss/data/science/final/nc/

    Used on 1 page.

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  • NOAA Globall Averaged Marine Surface Monthly Mean Data

    ID: 1151

    Credit: NOAA/GML, Ed Dlugokencky, gml.noaa.gov/ccgg/trends_ch4/

    Used on 1 page.

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  • OISSS_L4_multimission_7day_v1 (Multi-Mission Optimally Interpolated Sea Surface Salinity Global Dataset V1) [Data Compilation: SMAP/SMAP L-BAND RADIOMETER, SAC-D/AQUARIUS_SCATTEROMETER, SMOS/SMAP L-BAND RADIOMETER]

    ID: 1156

    Type: Data Compilation Sensor: SMAP/SMAP L-BAND RADIOMETER, SAC-D/AQUARIUS_SCATTEROMETER, SMOS/SMAP L-BAND RADIOMETER Collected by: PODAAC

  • PACE orbit planning ephemeris (TLE) (PACE orbit planning ephemeris (TLE))

    ID: 1157

    Type: Ephemeris Collected by: NASA

    Credit: Fred Patt

    Used on 3 pages.

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  • MCD12C1 (Land Cover Climate Modeling Grid (CMG)) [MODIS]

    ID: 1158

    Type: Model Sensor: MODIS Collected by: USGS

    The Terra and Aqua combined Moderate Resolution Imaging Spectroradiometer (MODIS) Land Cover Climate Modeling Grid (CMG) (MCD12C1) Version 6 data product provides a spatially aggregated and reprojected version of the tiled MCD12Q1 Version 6 data product. The dataset provides global land cover types at yearly intervals using International Geosphere-Biosphere Programme (IGBP), University of Maryland (UMD), and Leaf Area Index (LAI) classification schemes.

    Credit: Friedl, M., D. Sulla-Menashe. MCD12C1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG V006. 2015, distributed by NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MCD12C1.006. Accessed 2022-08-25.

    This dataset can be found at: https://lpdaac.usgs.gov/products/mcd12c1v006/

    Used on 1 page.

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  • Natural Earth River Data [Data Compilation]

    ID: 1159

  • High-resolution satellite imagery (High-resolution satellite imagery) [GeoEye-1]

    ID: 1160

    Type: Observed Data Collected by: DigitalGlobe

  • Sea Ice Index (Sea Ice Index) [DMSP, DMSP 5D-3/F17, DMSP 5D-3/F18, Nimbus-7: SMMR, SSM/I, SSMIS]

    ID: 1162

    Type: Observed Data Sensor: SMMR, SSM/I, SSMIS Collected by: National Snow and Ice Data Center

    The Sea Ice Index provides a quick look at Arctic- and Antarctic-wide changes in sea ice. It is a source for consistent, up-to-date sea ice extent and concentration images, in PNG format, and data values, in GeoTIFF and ASCII text files, from November 1978 to the present. Sea Ice Index images also depict trends and anomalies in ice cover calculated using a 30-year reference period of 1981 through 2010. The images and data are produced in a consistent way that makes the Index time-series appropriate for use when looking at long-term trends in sea ice cover. Both monthly and daily products are available. However, monthly products are better to use for long-term trend analysis because errors in the daily product tend to be averaged out in the monthly product and because day-to-day variations are often the result of short-term weather.

    Credit: Data Contributors: Florence Fetterer, Kenneth Knowles, Walter Meier, Matthew Savoie, Ann Windnagel

    This dataset can be found at: https://nsidc.org/data/g02135/versions/3#anchor-1

    Used on 2 pages.

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  • Gridded 2012 U.S. Methane Emissions (Gridded 2012 U.S. Methane Emissions)

    ID: 1163

    Type: Data Compilation Collected by: EPA

    A gridded inventory of US anthropogenic methane emissions with 0.1° × 0.1° spatial resolution, monthly temporal resolution, and detailed scale-dependent error characterization. The inventory is designed to be consistent with the 2016 US Environmental Protection Agency (EPA) Inventory of US Greenhouse Gas Emissions and Sinks (GHGI) for 2012.

    Credit: Maasakkers et. al. 2016

    This dataset can be found at: https://www.epa.gov/ghgemissions/gridded-2012-methane-emissions

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  • GEOS_CASAGFED_M_FLUX (GEOS-Carb CASA-GFED Monthly Fire Fuel NPP Rh NEE Fluxes)

    ID: 1164

    Type: Model Collected by: NASA

    This product provides Monthly average Net Primary Production (NPP), heterotrophic respiration (Rh), wildfire emissions (FIRE), and

    Credit: Lesley Ott (2020), GEOS-Carb CASA-GFED Monthly Fire Fuel NPP Rh NEE Fluxes 0.5 degree x 0.5 degree V3, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [Data Access Date], 10.5067/03147VMJE8J9

    This dataset can be found at: https://disc.gsfc.nasa.gov/datasets/GEOS_CASAGFED_M_FLUX_3

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  • Rainfall anomaly for Aug 2021 [GPM]

    ID: 1165

    Type: Data Compilation

    Integrated Multi-satellitE Retrievals for GPM (IMERG) V06 Precipitation downscaled to 1 km within LIS model

    Used on 1 page.

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  • Rootzone Soil moisture Anomaly August 14, 2021

    ID: 1166

    Type: Data Compilation

    Anomaly in Rootzone soil moisture based on 20-year record from 1-km LIS-model run, after assimilation of downscaled SMAP surface moisture product (THySM: Thermal Hydraulic disaggregation of SMAP Soil Moisture).

    Used on 1 page.

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  • Evaporative Stress Index (12-weeks) on August 13, 2021

    ID: 1167

    Type: Observed Data

    Atmosphere-Land Exchange Inverse (ALEXI) Evaporative Stress Index (ESI) generated by the NASA Short-term Prediction Research and Transition Center (SPoRT), based on MODIS-based thermal infrared observations

    Credit: Anderson, Martha C., John M. Norman, John R. Mecikalski, Jason A. Otkin, and William P. Kustas. "A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology." Journal of Geophysical Research: Atmospheres 112, no. D11 (2007).

    Used on 1 page.

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  • Anomaly in Gross Primary Production, August 2021

    ID: 1168

    Type: Model

    Anomaly in Gross Primary Production based on 20-year record from LIS-model run

    Used on 1 page.

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  • MTBS [Landsat]

    ID: 1169

    Type: Observed Data

    Monitoring Trends in Burn Severity

    Credit: https://mtbs.gov

    Used on 1 page.

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  • BAER

    ID: 1170

    Type: Observed Data

    Burned Area Emergency Response

    Used on 1 page.

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  • Evapotranspiration

    ID: 1171

    Type: Observed Data

    Evapotranspiration data were retrieved for the DisALEXI model from OpenET (openetdata.org) under a CCBY4.0 open data license.

    Credit: Melton, F., Huntington, J., Grimm, R., Herring, J., Hall, M., Rollison, D., Erickson, T., Allen, R., Anderson, M., Fisher, J., Kilic, A., Senay, G., volk, J., Hain, C., Johnson, L., Ruhoff, A., Blanenau, P., Bromley, M., Carrara, W., Daudert, B., Doherty, C., Dunkerly, C., Friedrichs, M., Guzman, A., Halverson, G., Hansen, J., Harding, J., Kang, Y., Ketchum, D., Minor, B., Morton, C., Ortega-Salazar, S., Ott, T., Ozdogon, M., Schull, M., Wang, T., Yang, Y., Anderson, R., 2021. OpenET: Filling a Critical Data Gap in Water Management for the Western United States. Journal of the American Water

    Used on 1 page.

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  • Fire radiative power [Suomi NPP and NOAA-20: VIIRS]

    ID: 1172

    Type: Observed Data Sensor: VIIRS

  • Debris Flow Polygons

    ID: 1173

    Type: Observed Data

  • OCO-2 GEOS Level 3 monthly (OCO-2 GEOS Level 3 monthly, 0.5x0.625 assimilated CO2 V10r) [Orbiting Carbon Observatory-2/OCO-2]

    ID: 1174

    Collected by: NASA

    OCO-2 GEOS (Goddard Earth Observing System) Level 3 data are produced by ingesting OCO-2 L2 retrievals every 6 hours with GEOS CoDAS, a modeling and data assimilation system maintained by NASA’s Global Modeling and Assimilation Office (GMAO). GEOS CoDAS uses a high-performance computing implementation of the Gridpoint Statistical Interpolation approach for solving the state estimation problem. GSI finds the analyzed state that minimizes the three-dimensional variational (3D-Var) cost function formulation of the state estimation problem.

    Credit: NASA

    This dataset can be found at: 10.5067/BGFIODET3HZ8

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  • Pilot top-down CO2 Budget constrained by the v10 OCO-2 MIP Version 1

    ID: 1175

    Type: Analysis

    Credit: Pilot top-down CO2 Budget constrained by the v10 OCO-2 MIP Version 1 Byrne, B., Baker, D. F., Basu, S., Bertolacci, M., Bowman, K. W., Carroll, D., Chatterjee, A., Chevallier, F., Ciais, P., Cressie, N., Crisp, D., Crowell, S., Deng, F., Deng, Z., Deutscher, N. M., Dubey, M. K., Feng, S., García, O. E., Herkommer, B., Hu, L., Jacobson, A. R., Janardanan, R., Jeong, S., Johnson, M. S., Jones, D. B. A., Kivi, R., Liu, J., Liu, Z., Maksyutov, S., Miller, J. B., Miller, S. M., Morino, I., Notholt, J., Oda, T., O’Dell, C. W., Oh, Y.-S., Ohyama, H., Patra, P. K., Peiro, H., Petri, C., Philip, S., Pollard, D. F., Poulter, B., Remaud, M., Schuh, A., Sha, M. K., Shiomi, K., Strong, K., Sweeney, C., Té, Y., Tian, H., Velazco, V. A., Vrekoussis, M., Warneke, T., Worden, J. R., Wunch, D., Yao, Y., Yun, J., Zammit-Mangion, A., and Zeng, N. https://doi.org/10.48588/npf6-sw92

    This dataset can be found at: https://doi.org/10.48588/npf6-sw92

    Used on 1 page.

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  • Black Marble (Black Marble: Next Generation) [Suomi NPP: VIIRS]

    ID: 1176

    Sensor: VIIRS Collected by: NASA/NOAA

    Earth at night imagery

    Credit: NASA Earth Observatory images by Joshua Stevens, using Suomi NPP VIIRS data from Miguel Román, NASA GSFC.

    This dataset can be found at: https://visibleearth.nasa.gov/images/144898/earth-at-night-black-marble-2016-color-maps/144947l

    Used on 17 pages.

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  • California Wildfire Spread Derived using VIIRS Observations and an Object-based Tracking System (California Wildfire Spread Derived using VIIRS Observations and an Object-based Tracking System) [Suomi-NPP: VIIRS]

    ID: 1178

    Sensor: VIIRS

    Credit: Chen, Yang; Hantson, Stijn; Andela, Niels; Coffield, Shane; Graff, Casey; Morton, Douglas C.; et al. (2022): A Dataset of California Wildfire Spread Derived Using VIIRS Observations and an Object-based Tracking System. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5601537.v1

    This dataset can be found at: https://springernature.figshare.com/collections/A_Dataset_of_California_Wildfire_Spread_Derived_Using_VIIRS_Observations_and_an_Object-based_Tracking_System/5601537/1

    Used on 3 pages.

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  • Surface PM2.5 (V4.NA.03) [MODIS, MISR, and SeaWIFS]

    ID: 1180

    Type: Data Compilation Sensor: MODIS, MISR, and SeaWIFS Collected by: Washington University in St. Louis

  • Surface NO2 (Surface-level nitrogen dioxide)

    ID: 1181

    Type: Model Collected by: Goddard Earth Sciences Data and Information Services Center (GES DISC)

  • OpenAQ (PM 2.5)

    ID: 1182

    Collected by: OpenAQ

    OpenAQ is a nonprofit organization providing universal access to air quality data to empower a global community of changemakers to solve air inequality—the unequal access to clean air.

    This dataset can be found at: https://openaq.org

    Used on 1 page.

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  • Open Data DC (Open Data DC catalog)

    ID: 1183

    Collected by: Government of the District of Columbia

    Catalog of government operational data available to the public.

    This dataset can be found at: https://opendata.dc.gov/

    Used on 2 pages.

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  • Ocean Heat Content (Ocean Heat Content Changes since 1955)

    ID: 1184

    Collected by: NOAA/NCEI

  • GMSL (Global Mean Sea Level) [Integrated Multi-Mission Ocean Altimeters: TOPEX/Poseidon, Jason-1, OSTM/Jason-2, and Jason-3]

    ID: 1185

    Type: Data Compilation Sensor: TOPEX/Poseidon, Jason-1, OSTM/Jason-2, and Jason-3 Collected by: NASA Sea Level Change Program

    This data contains Global Mean Sea Level (GMSL) variations computed at the NASA Goddard Space Flight Center under the auspices of the NASA Sea Level Change program. The GMSL was generated using the Integrated Multi-Mission Ocean Altimeter Data for Climate Research (http://podaac.jpl.nasa.gov/dataset/MERGED_TP_J1_OSTM_OST_ALL_V51). It combines Sea Surface Heights from the TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6 Michael Freilich missions to a common terrestrial reference frame with all inter-mission biases, range and geophysical corrections applied and placed onto a georeferenced orbit. This creates a consistent data record throughout time, regardless of the instrument used. Note, the most recent estimates of GMSL (post March 28, 2022) derived from the Sentinel-6 Michael Freilich mission are preliminary as validation and reprocessing procedures for Sentinel-6 are ongoing.

    Credit: GSFC. 2021. Global Mean Sea Level Trend from Integrated Multi-Mission Ocean Altimeters TOPEX/Poseidon, Jason-1, OSTM/Jason-2, and Jason-3 Version 5.1. Ver. 5.1 PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GMSLM-TJ151.

    This dataset can be found at: http://podaac.jpl.nasa.gov/dataset/MERGED_TP_J1_OSTM_OST_ALL_V51

    Used on 5 pages.

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  • ODIAC (Open-source Data Inventory for Anthropogenic CO₂)

    ID: 1186

    Type: Data Compilation

    The Open-source Data Inventory for Anthropogenic CO₂ (A.K.A. ODIAC) is a global high-resolution emission data product for fossil fuel carbon dioxide (CO₂) emissions. ODAIC was originally developed under the Greenhouse gas Observing SATellite (GOSAT) project at Japan’s National Institute for Environmental Studies (NIES). Since then, ODIAC has been maintained at the Universities Space Research Association (USRA) in collaboration with NASA, NIES and the Appalachian State University. ODIAC pioneered the combined use of space-based nighttime light data and individual power plant emission/location profiles to estimate the global spatial extent of fossil fuel CO₂ emissions. With the innovative emission modeling approach, ODIAC achieved the fine picture of global fossil fuel CO₂ emissions at a 1x1km, possibly the most beautiful global picture of human-made emissions. ODIAC was specifically designed for atmospheric CO₂ simulation applications, specially analyses using CO₂ data collected by satellites, such as GOSAT and NASA’s Orbiting Carbon Observatory missions. ODIAC has been a key input data for NASA’s carbon modeling. As seen in a number of publications in the literature, the ODIAC emission data product has been also widely used in the international science research community for a variety of research applications (e.g. carbon budget analysis, urban emission study, observing system design experiments, and etc.) across various key policy relevant scales (global to local).

    Credit: Tomohiro Oda, Shamil Maksyutov (2015), ODIAC Fossil Fuel CO2 Emissions Dataset (Version name1 : ODIACYYYY or ODIACYYYYa), Center for Global Environmental Research, National Institute for Environmental Studies, doi:10.17595/20170411.001. (Reference date2 : YYYY/MM/DD)

    This dataset can be found at: https://db.cger.nies.go.jp/dataset/ODIAC/

    Used on 1 page.

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  • Nitrogen Dioxide [TEMPO]

    ID: 1188

    Type: Observed Data Sensor: TEMPO

    Credit: Data provided by the Smithsonian Astrophysical Observatory at the Center for Astrophysics | Harvard & Smithsonian.

    This dataset can be found at: https://tempo.si.edu/

    Used on 1 page.

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  • OLI-2 [Landsat 9: Operational Land Imager-2]

    ID: 1189

    Sensor: Operational Land Imager-2 Collected by: U.S. Geological Survey

  • [QuickBird-2: Ball Global Imagery System 2000]

    ID: 1190

    Type: Observed Data Sensor: Ball Global Imagery System 2000 Collected by: ESA

  • HWRF model (Hurricane Weather Research and Forecast model)

    ID: 1191

    Type: Model

  • DYAMOND

    ID: 1193

    Type: Model Collected by: NASA/JPL, NASA/GMAO

    The data from the experimental coupled GEOS-MITgcm model known as DYAMOND that was run on NASA Advanced Supercomputing facility.

    Used on 4 pages.

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  • GEOS-FP

    ID: 1196

    Type: Model Collected by: NASA GMAO

    Documentation: Lucchesi, R., 2018: File Specification for GEOS FP. GMAO Office Note No. 4 (Version 1.2), 61 pp, available from https://gmao.gsfc.nasa.gov/pubs/docs/Lucchesi1203.pdf

    This dataset can be found at: https://fluid.nccs.nasa.gov/weather/

    Used on 12 pages.

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  • GEOS-CF

    ID: 1197

    Collected by: NASA GMAO

    Knowland, K.E., C.A. Keller, and R. Lucchesi, 2022: File Specification for GEOS-CF Products. GMAO Office Note No. 17 (Version 1.3), 54 pp, available from https://gmao.gsfc.nasa.gov/pubs/docs/Knowland1446.pdf

    This dataset can be found at: https://portal.nccs.nasa.gov/datashare/gmao/geos-cf/v2/

    Used on 6 pages.

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  • [Surface Water and Ocean Topography (SWOT): Ka-band Radar Interferometer (KaRIn)]

    ID: 1198

    Sensor: Ka-band Radar Interferometer (KaRIn)

  • Harmful Algal Event DATabase (HAEDAT) [Database]

    ID: 1199

    Collected by: UNESCO/ICES/PICES

    The Harmful Algal Event Database (HAEDAT) is a component of the Harmful Algal Information system (HAIS) within the "International Oceanographic Data and Information Exchange" (IODE) of the "Intergovernmental Oceanographic Commission" (IOC) of UNESCO, and in cooperation with ICES, and PICES.

    Credit: UNESCO/Intergovernmental Oceanographic Commission (IOC)

    This dataset can be found at: http://haedat.iode.org

    Used on 3 pages.

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  • MAGE (Multiscale Atmosphere-Geospace Environment)

    ID: 1200

    Type: Model Collected by: The Johns Hopkins University Applied Physics Laboratory LLC

    MAGE will span the domains of geospace, from the lower atmosphere to the thermosphere-ionosphere, to the different regions of the magnetosphere. It will resolve global dynamics and critical mesoscale processes throughout geospace with highly precise numerical techniques. MAGE will be made available for community use via a permissive open-source license.

    This dataset can be found at: https://cgs.jhuapl.edu/Models/mage.php

    Used on 3 pages.

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  • GAMERA (Grid Agnostic MHD for Extended Research Applications)

    ID: 1201

    Type: Model Collected by: The Johns Hopkins University Applied Physics Laboratory LLC

    GAMERA is a new magnetohydrodynamic (MHD) simulation tool building and improving upon the high-heritage Lyon-Fedder-Mobarry (LFM) code. GAMERA has been written completely from scratch in modern Fortran and provides a flexible, portable, and exascale-capable MHD code. GAMERA features multiple improvements over LFM including: minimal external library dependence, high degree of optimization, OpenMP parallelism allowing use of heterogeneous architectures, and multiple numerics upgrades. Thus, while preserving all key numerical algorithms underlying the LFM code, GAMERA provides a robust and user-friendly solution for sustainable future.

    Credit: References

    This dataset can be found at: https://cgs.jhuapl.edu/Models/gamera.php

    Used on 4 pages.

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  • ICOADS (International Comprehensive Ocean-Atmosphere Data Set)

    ID: 1202

    Type: Observed Data Collected by: NOAA National Centers for Environmental Information

    The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) offers surface marine data spanning 1662-present, and simple gridded monthly summary products for 2° latitude x 2° longitude boxes back to 1800 (and 1°x1° boxes since 1960)—these data and products are freely distributed worldwide. As it contains observations from many different observing systems encompassing the evolution of measurement technology over hundreds of years, ICOADS is probably the most complete and heterogeneous collection of surface marine data in existence.

    Credit: Freeman, E.; Woodruff, S. D.; Worley, S. J.; Lubker, S. J.; Kent, E. C.; Angel, W. E.; Berry, D. I.; Brohan, P.; Eastman, R.; Gates, L.; Gloeden, W.; Ji, Z.; Lawrimore, J.; Rayner, N. A.; Rosenhagen; G. and Smith, S. R. (2016):International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3.0 - Monthly Summary Groups (MSG), Revision 3.0. NOAA National Centers for Environmental Information (NCEI).

    This dataset can be found at: https://icoads.noaa.gov/

    Used on 1 page.

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  • GHCNm (Global Historical Climatology Network monthly)

    ID: 1203

    Collected by: NOAA National Centers for Environmental Information

    The Global Historical Climatology Network monthly (GHCNm) dataset provides monthly climate summaries from thousands of weather stations around the world. The initial version was developed in the early 1990s, and subsequent iterations were released in 1997, 2011, and most recently in 2018. The period of record for each summary varies by station, with the earliest observations dating to the 18th century. Some station records are purely historical and are no longer updated, but many others are still operational and provide short time delay updates that are useful for climate monitoring. The current version (GHCNm v4) consists of mean monthly temperature data, as well as a beta release of monthly precipitation data.

    Credit: Menne, M. J., C. N. Williams, B.E. Gleason, J. J Rennie, and J. H. Lawrimore, 2018: The Global Historical Climatology Network Monthly Temperature Dataset, Version 4. J. Climate, in press. doi:10.1175/JCLI-D-18-0094.1

    This dataset can be found at: https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-monthly

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  • Five Millennium Canon of Solar Eclipses (Five Millennium Canon of Solar Eclipses)

    ID: 1204

    Type: Database Collected by: NASA

    Compilation of every solar eclipse occurring between 2000 BCE and 3000 CE

    Credit: Fred Espenak and Jean Meeus, 2006. NASA Technical Publication TP-2006-214141

    This dataset can be found at: https://eclipse.gsfc.nasa.gov/SEpubs/5MCSE.html

    Used on 2 pages.

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  • DE441 (DE441)

    ID: 1205

    Type: Ephemeris Collected by: NASA/JPL

    30,000-year solar system ephemeris

    Credit: Navigation and Ancillary Information Facility, NASA Jet Propulsion Laboratory

    This dataset can be found at: https://naif.jpl.nasa.gov/naif/data_generic.html

    Used on 2 pages.

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  • SPEXone Polarimeter [PACE: SPEXone]

    ID: 1207

    Sensor: SPEXone

  • Ocean Color Instrument [PACE: OCI]

    ID: 1208

    Sensor: OCI

  • Hyper-Angular Rainbow Polarimeter #2 [PACE: HARP2]

    ID: 1209

    Sensor: HARP2

  • VISIONS: The EMIT Open Data Portal [International Space Station (ISS): Earth Surface Mineral Dust Source Investigation (EMIT)]

    ID: 1210

    Type: Observed Data Sensor: Earth Surface Mineral Dust Source Investigation (EMIT)

    The Earth Surface Mineral Dust Source Investigation (EMIT) instrument measures surface mineralogy, targeting the Earth’s arid dust source regions. EMIT is installed on the International Space Station (ISS) and uses imaging spectroscopy to take measurements of the sunlit regions of interest between 52° N latitude and 52° S latitude.

    Credit: Jet Propulsion Laboratory, California Institute of Technology

    This dataset can be found at: https://earth.jpl.nasa.gov/emit/data/data-portal/Greenhouse-Gases/

    Used on 4 pages.

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  • July mean Sargassum Density (July mean Sargassum Density in the Atlantic Ocean) [Aqua and Terra: MODIS]

    ID: 1211

    Type: Observed Data Sensor: MODIS Collected by: University of South Florida Optical Oceanography Laboratory

    This data shows the percent covered by Sargassum for each 0.5 x 0.5 degree area

    Credit: Data courtesy of Brian Barnes at the University of South Florida (USF), Optical Oceanography Lab and Wang, M., et al. (2019).

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  • Monthly Mean Sargassum Density (Monthly mean Sargassum Density in the Atlantic Ocean) [Aqua and Terra: MODIS]

    ID: 1212

    Type: Observed Data Sensor: MODIS

    This data shows the percent covered by Sargassum for each 0.5 x 0.5 degree area

    Credit: Data courtesy of Brian Barnes at the University of South Florida (USF), Optical Oceanography Lab and Wang, M., et al. (2019).

    Used on 1 page.

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  • GEOS-S2S

    ID: 1213

    Type: Model Collected by: NASA GMAO

    NASA Goddard Earth Observing System (GEOS) Subseasonal to Seasonal (S2S) coupled ocean-atmosphere model

    This dataset can be found at: https://gmao.gsfc.nasa.gov/seasonal/GEOS-S2S/

    Used on 1 page.

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  • Niño3.4 SST anomaly index

    ID: 1214

    NOAA Niño3.4 Reynolds Optimum Interpolation v2 (Olv2) Sea Surface Temperature (SST) anomaly index time series.

    This dataset can be found at: https://www.ncei.noaa.gov/products/optimum-interpolation-sst

    Used on 1 page.

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  • WOA23

    ID: 1215

  • ETOPO-30

    ID: 1216

    Type: Model

    NOAA Earth TOPOgraphy global relief model 30 arc-second resolution (ETOPO-30): The ETOPO Global Relief Model integrates topography, bathymetry, and shoreline data from regional and global datasets to enable comprehensive, high resolution renderings of geophysical characteristics of the earth’s surface. The model is designed to support tsunami forecasting, modeling, and warning, as well as ocean circulation modeling and Earth visualization.

    This dataset can be found at: https://www.ncei.noaa.gov/products/etopo-global-relief-model

    Used on 8 pages.

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  • GlobalFWI (Fire Weather Index) [GEOS-5 model]

    ID: 1217

    Type: Model Collected by: NCCS

  • [Landsat-8: OLI]

    ID: 1218

    Sensor: OLI

    Band combination 431

    Used on 2 pages.

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  • Brightness Temp (Brightness Temperature (Channel 12)) [TROPICS: Passive Microwave Radiometer]

    ID: 1219

    Type: Observed Data Sensor: Passive Microwave Radiometer

  • NEX-GDDP-CMIP6 (NASA Earth Exchange Global Daily Downscaled Projections)

    ID: 1220

    Type: Model

    The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across all four “Tier 1” greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed through the Earth System Grid Federation. The purpose of this dataset is to provide a set of global, high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions.

    Credit: Dr. Bridget Thrasher and Dr. Ian Brosnan, NASA NEX

    This dataset can be found at: https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6

    Used on 1 page.

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  • Drift patterns using surface currents from global HYCOM model with 1% windage from NCEP reanalysis winds

    ID: 1221

    Type: Model

    Credit: Nathan F. Putman,

    Used on 1 page.

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  • Drift patterns using surface currents from global HYCOM model

    ID: 1222

    Type: Model

    Credit: Nathan F. Putman,

    Used on 1 page.

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  • GLM L2 Lightning Detection Gridded Product (OR_GLM-L2-GLMF-M3_G17) [GOES 17: GOES R Series Geostationary Lightning Mapper]

    ID: 1223

    Type: Observed Data Sensor: GOES R Series Geostationary Lightning Mapper

    The Lightning Detection Gridded product generates fields starting from the GLM Lightning Detection Events, Groups, Flashes product. It consists of flash extent density, event density, average flash area, average group area, total energy, flash centroid density, and group centroid density.

    Credit: Rudlosky, Scott .2022. GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products OR_GLM-L2-GLMF-M3_G17. Dataset available online from the NASA Global Hydrometeorology Resource Center DAAC, Huntsville, Alabama, U.S.A. DOI: http://dx.doi.org/10.5067/GLM/GRID/DATA101

    This dataset can be found at: https://cmr.earthdata.nasa.gov/search/concepts/C2278812167-GHRC_DAAC.html

    Used on 1 page.

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  • Advanced Baseline Imager (ABI) channel 2 overlaid with GOES-16 Geostationary Lightning Mapper (GLM) Group Energy Density (Advanced Baseline Imager (ABI) channel 2 overlaid with GOES-16 Geostationary Lightning Mapper (GLM) Group Energy Density) [GOES-16: Advanced Baseline Imager (ABI)]

    ID: 1224

    Type: Data Compilation Sensor: Advanced Baseline Imager (ABI)

    GOES-16 Advanced Baseline Imager (ABI) channel 2 (0.64 micrometers) data every 1 minute from 27 Sep. 2022 at 14:25 UTC through 19:22 UTC, overlaid with GOES-16 Geostationary Lightning Mapper (GLM) Group Energy Density every 1 minute.

    Credit: Cooperative Institute for Research in the Atmosphere (CIRA) and NOAA

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  • GeoColor (GeoColor) [GOES-17: Advanced Baseline Imager (ABI)]

    ID: 1225

    Type: Observed Data Sensor: Advanced Baseline Imager (ABI)

    GeoColor is a multi-spectral algorithm using five channels from the Advanced Baseline Imager (ABI) along with some static ancillary data to approximate true color during the daytime and highlight high and low clouds at night.

    Credit: Steven D. Miller, Steven D. Miller, Curtis J. Seaman, Jeremy E. Solbrig

    This dataset can be found at: https://journals.ametsoc.org/view/journals/atot/37/3/JTECH-D-19-0134.1.xml

    Used on 1 page.

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  • AVIRIS-3 L2B Greenhouse Gas Enhancements, Facility Instrument Collection

    ID: 1229

    Type: Observed Data

    This dataset contains Level 2B (L2b) enhancements of greenhouse gasses (GHG) derived from imagery collected by the Airborne Visible / Infrared Imaging Spectrometer-3 (AVIRIS-3) instrument. Products include methane and carbon dioxide enhancements, each with per-pixel uncertainties and sensitivities to the background. Concentration enhancements are estimated from radiance measurements using a column-wise adaptive matched filter approach, which searches each pixel's radiance spectrum for deviations that are characteristic of a GHG's absorption spectrum. This is the NASA Earth Observing System Data and Information System (EOSDIS) facility instrument archive of these data. The NASA AVIRIS-3 is a spectral mapping system that measures reflected radiance at 7.4-nm intervals in the Visible to Shortwave Infrared (VSWIR) spectral range from 390-2500 nm.

    Credit: Chlus, A. M., Brodrick, P. G., Thorpe, A. K., Chapman, J. W., Jensen, D. J., Coleman, R. W., Fahlen, J., Olson-Duvall, W., Thompson, D. R., & Green, R. O. (2024). AVIRIS-3 L2B Greenhouse Gas Enhancements, Facility Instrument Collection (Version 1). ORNL Distributed Active Archive Center. x

    This dataset can be found at: https://doi.org/10.3334/ornldaac/2358

    Used on 1 page.

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  • Antarctic Ice Cores (Antarctic Ice Cores Revised 800KYr CO2 Data)

    ID: 1231

    Type: Data Compilation

    The European Project for Ice Coring in Antarctica Dome ice core from Dome C (EDC) has allowed for the reconstruction of atmospheric CO2 concentrations for the last 800,000 years. Here we revisit the oldest part of the EDC CO2 record using different air extraction methods and sections of the core. For our established cracker system, we found an analytical artifact, which increases over the deepest 200 m and reaches 10.1 +/- 2.4 ppm in the oldest/deepest part. The governing mechanism is not yet fully understood, but it is related to insufficient gas extraction in combination with ice relaxation during storage and ice structure. The corrected record presented here resolves partly - but not completely - the issue with a different correlation between CO2 and Antarctic temperatures found in this oldest part of the records. In addition, we provide here an update of 800,000 years atmospheric CO2 history including recent studies covering the last glacial cycle.

    Credit: Bereiter, B., S. Eggleston, J. Schmitt, C. Nehrbass-Ahles, T. F. Stocker, H. Fischer, S. Kipfstuhl, J. Chappellaz. 2015. Revision of the EPICA Dome C CO2 record from 800 to 600 kyr before present. Geophysical Research Letters, 42(2), 542-549. doi: 10.1002/2014GL061957

    This dataset can be found at: https://www.ncei.noaa.gov/access/paleo-search/study/17975

    Used on 1 page.

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  • Wildfire Burned Area (United States Total Wildland Fires and Acres)

    ID: 1232

    Type: Observed Data

    The National Interagency Coordination Center at NIFC compiles annual wildland fire statistics for federal and state agencies. This information is provided through Situation Reports, which have been in use for several decades. Prior to 1983, the federal wildland fire agencies did not track official wildfire data using current reporting processes. As a result, there is no official data prior to 1983 posted on this site.

    Credit: The National Interagency Coordination Center at the National Interagency Fire Center

    This dataset can be found at: https://www.nifc.gov/fire-information/statistics/wildfires

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  • Nonstationarity index for terrestrial water storage and its components (Nonstationarity index for terrestrial water storage and its components)

    ID: 1233

    Type: Analysis

  • Terrestrial Water Storage Anomaly data from global water reanalysis dataset (HydroGlobe) (Terrestrial Water Storage Anomaly data from global water reanalysis dataset (HydroGlobe))

    ID: 1234

    Type: Analysis

    HydroGlobe integrates NASA's state-of-the art modeling system and remote sensing observations to reveal human impacts on the water cycle.

    This dataset can be found at: https://ldas.gsfc.nasa.gov/hydroglobe

    Used on 1 page.

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  • Simulated Aerosol Optical Depth from the CMAQ model (Simulated Aerosol Optical Depth from the CMAQ model)

    ID: 1235

    Type: Model

    Credit: Jianping Huang

    This dataset can be found at: https://www.epa.gov/cmaq

    Used on 1 page.

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  • BATS-R-US (Block Adaptive Tree Solar-wind Roe Upwind Scheme)

    ID: 1236

    Type: Model

    BATS-R-US was designed using the Message Passing Interface (MPI) and the Fortran90 standard and executes on a massively parallel computer system. The BATS-R-US code solves 3D MHD equations in finite volume form using numerical methods related to Roe's Approximate Riemann Solver. BATS-R-US uses an adaptive grid composed of rectangular blocks arranged in varying degrees of spatial refinement levels. It is part of the Space Weather Modeling Framework.

    Credit: What Sustained Multi-Disciplinary Research Can Achieve: The Space Weather Modeling Framework

    This dataset can be found at: https://clasp.engin.umich.edu/research/theory-computational-methods/space-weather-modeling-framework/swmf-downloadable-software/

    Used on 3 pages.

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  • vertical gravity gradient [Surface Water and Ocean Topography (SWOT)]

    ID: 1237

    Type: Analysis

  • Aerosol Wind Profiler (AWP) Measurements

    ID: 1238

  • TAM (Titan Atmospheric Model Global Circulation Model)

    ID: 1239

    Type: Model

    Credit: Juan Lora, Department of Earth and Planetary Sciences, Yale University.
    https://www.sciencedirect.com/science/article/pii/S0019103514007210

    This dataset can be found at: https://campuspress.yale.edu/titanatmosphericmodel

    Used on 1 page.

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  • SSHA (Sea Surface Height Anomaly) [Surface Water and Ocean Topography (SWOT)]

    ID: 1240

    Type: Observed Data

  • Global River Classification (GloRiC) (GloRiC)

    ID: 1241

    Type: Mosaic

  • HydroBASINS (HydroBASINS)

    ID: 1242

    Type: Analysis

  • Land Vegetation Indices [PACE: OCI]

    ID: 1243

    Type: Observed Data Sensor: OCI

  • Burn severity of vegetation vs. urban surfaces (Burn severity of vegetation vs. urban surfaces derived from combined Sentinel-1 and Sentinel-2 analysis for the Southern California Wildfires) [Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 MultiSpectral Instrument (MSI)]

    ID: 1245

    Type: Data Compilation Sensor: Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 MultiSpectral Instrument (MSI)

    Credit: Khuong Tran (ARC), Taejin Park (ARC), Aakash Chhabra (ARC), Weile Wang (ARC), Kyle Kabasares (ARC).

    This dataset can be found at: https://maps.disasters.nasa.gov/arcgis/home/item.html?id=ac41ac23863d4c76aeaf80387b1ea2bf

    Used on 1 page.

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  • Copernicus Sentinel-2 Imagery (Copernicus Sentinel-2 Imagery for the Southern California Wildfires) [Copernicus Sentinel-2A/2B: MultiSpectral Instrument (MSI)]

    ID: 1246

    Type: Observed Data Sensor: MultiSpectral Instrument (MSI)

  • FEDS (Fire Events Data Suite) [NOAA-20 and SUOMI-NPP: VIIRS]

    ID: 1247

    Type: Observed Data Sensor: VIIRS

    Credit: Tempest McCabe, Douglas Morton, Melanie Follette-Cook, Elijah Orland, Zeb Becker, Yang Chen, Rebecca Scholten, Greg Corradini, Julia Signel, Alexey Shiklomanov, Kateria Sheronin, and Jim Randerson

    This dataset can be found at: https://earth-information-system.github.io/fireatlas/docs/nrt.html

    Used on 5 pages.

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  • Chlorophyll (Chlorophyll Concentration) [PACE: OCI]

    ID: 1248

    Type: Observed Data Sensor: OCI

    Credit: NASA Ocean Biology Processing Group. (2024). PACE OCI Level-3 Global Mapped Chlorophyll (CHL) Data, version 3.0 [Dataset]. NASA Ocean Biology Distributed Active Archive Center. https://doi.org/10.5067/PACE/OCI/L3M/CHL/3.0

    This dataset can be found at: https://cmr.earthdata.nasa.gov/search/concepts/C3385050568-OB_CLOUD.html

    Used on 1 page.

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  • TEMPO Level 3 Gridded [TEMPO: TEMPO]

    ID: 1249

    Type: Observed Data Sensor: TEMPO

  • CAL FIRE Fire Perimeters

    ID: 1250

  • CAL FIRE DINS

    ID: 1251

    Type: Database

  • Planning Ephemerides (any format) (Planning Ephemerides)

    ID: 1252

  • GEOS-CF (GEOS Composition Forecast)

    ID: 1253

    Type: Model

  • FEDS OGC API

    ID: 1254

    Type: Data Compilation

  • QFED (Quick Fire Emissions Dataset) [MODIS]

    ID: 1255

  • EONET API (Earth Observatory Natural Event Tracker API)

    ID: 1256

    Credit: Web Strategy and Communications Team, Earth Science Data Systems Program

    This dataset can be found at: https://eonet.gsfc.nasa.gov/

    Used on 1 page.

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  • IRWIN (Integrated Reporting of Wildfire Information)

    ID: 1257

  • GEOS-FP 2Km Replay (GEOS Forward Processing 2Km Replay)

    ID: 1258

    Type: Model

  • Land Ice Height Change (ICESat-2 ATL15 Land Ice Height Change) [ICESat-2]

    ID: 1259

    Type: Observed Data

  • Sea Ice Thickness (Monthly Gridded Sea Ice Thickness) [ICESat-2]

    ID: 1260

    Type: Observed Data

  • Phytoplankton [PACE: OCI]

    ID: 1264

    Type: Observed Data Sensor: OCI

  • Cyanobacteria Index [PACE: OCI]

    ID: 1266

    Type: Observed Data Sensor: OCI

  • JPL Horizons ephemeris

    ID: 1269

    Type: Database

  • REPPU

    ID: 1270

    Type: Model

    Credit: Tanaka, T., Nakamizo, A., Yoshikawa, A., Fujita, S., Shinagawa, H., Shimazu, H., et al. Substorm convection and current system deduced from the global simulation. Journal of Geophysical Research, 115(A5), A05220. https://www.doi.org/10.1029/2009JA014676 (2010).

    Used on 1 page.

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  • SWORD (SWOT River Database) [Surface Water and Ocean Topography (SWOT)]

    ID: 1271

    Type: Data Compilation

  • SWOT River Volume dataset monthly volume anomalies in each region [Surface Water and Ocean Topography (SWOT)]

    ID: 1272

    Type: Observed Data

  • Vegetation/Terrain Height (ICESat-2 ATL18 Vegetation/Terrain Height) [ICESat-2]

    ID: 1274

  • Dynamic Ocean Topography (ICESat-2 ATL23 Dynamic Ocean Topography) [ICESat-2]

    ID: 1275

    Type: Observed Data

  • Cloud Fraction (ICESat-2 ATL17 Cloud Fraction) [ICESat-2]

    ID: 1276

    Type: Observed Data

  • VIIRS Day/night Band (VIIRS/JPSS1 Day/Night Band 6-Min L1B Swath 750 m) [JPSS: VIIRS]

    ID: 1277

    Type: Observed Data Sensor: VIIRS

    Credit: VIIRS Calibration Support Team (VCST). “VIIRS/JPSS1 Day/Night Band 6-Min L1B Swath SDR- 750m.” NASA Level 1 and Atmosphere Archive and Distribution System Distributed Active Archive Center, 2021. doi:10.5067/VIIRS/VJ102DNB.021. Date Accessed: 2026-03-25

    This dataset can be found at: https://www.earthdata.nasa.gov/data/catalog/laads-vj102dnb-2.1

    Used on 1 page.

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  • ISS Photography (International Space Station Photography) [International Space Station (ISS): Camera]

    ID: 1278

    Sensor: Camera

    Credit: Earth Science and Remote Sensing Unit, NASA Johnson Space Center

    This dataset can be found at: https://eol.jsc.nasa.gov/

    Used on 1 page.

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  • Land surface reflectance [PACE: OCI]

    ID: 1280

    Type: Observed Data Sensor: OCI

  • Aerosol and ocean products [PACE: HARP2]

    ID: 1281

    Type: Observed Data Sensor: HARP2

  • Aerosol index [PACE: OCI]

    ID: 1282

    Type: Observed Data Sensor: OCI

  • Diatom backscatter [PACE: OCI]

    ID: 1283

    Type: Observed Data Sensor: OCI

  • Fluorescence [PACE: OCI]

    ID: 1284

    Type: Observed Data Sensor: OCI

  • 3D clouds [PACE: HARP2]

    ID: 1285

    Type: Observed Data Sensor: HARP2

  • Clouds [PACE: OCI]

    ID: 1286

    Type: Observed Data Sensor: OCI

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